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Extract Table Data from ANY WEBSITE in under 3 Minutes!!!
 
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Web Ninja Jon shows you how to extract table data from any website in under three minutes using CloudScrape. If you have any questions visit our website. http://WebDeveloperNinja.com
Views: 1092 Web Developer Ninja
ROC Curves and Area Under the Curve (AUC) Explained
 
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An ROC curve is the most commonly used way to visualize the performance of a binary classifier, and AUC is (arguably) the best way to summarize its performance in a single number. As such, gaining a deep understanding of ROC curves and AUC is beneficial for data scientists, machine learning practitioners, and medical researchers (among others). SUBSCRIBE to learn data science with Python: https://www.youtube.com/dataschool?sub_confirmation=1 JOIN the "Data School Insiders" community and receive exclusive rewards: https://www.patreon.com/dataschool RESOURCES: - Transcript and screenshots: https://www.dataschool.io/roc-curves-and-auc-explained/ - Visualization: http://www.navan.name/roc/ - Research paper: http://people.inf.elte.hu/kiss/13dwhdm/roc.pdf LET'S CONNECT! - Newsletter: https://www.dataschool.io/subscribe/ - Twitter: https://twitter.com/justmarkham - Facebook: https://www.facebook.com/DataScienceSchool/ - LinkedIn: https://www.linkedin.com/in/justmarkham/
Views: 315790 Data School
Part 6: Measuring Performance With The ROC Curve
 
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Review: prediction success table. Sensitivity vs. Specificity. What is the ROC curve, and how is it used to evaluate model performance? Advantages of evaluating based on ROC. How to utilize the Area Under Curve (AUC). http://www.salford-systems.com
Views: 45993 Salford Systems
Why Tunnels Don't Collapse
 
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How simple reinforcement is used to prevent collapse of rock tunnels. Join Dollar Shave Club for only $5 at http://www.dollarshaveclub.com/PracticalEngineering Tunnels play an important role in our constructed environment as passageways for mines, conveyance for utilities, and routes for transportation. Rock bolts are a type of reinforcement for stabilizing rock excavations, usually made from steel bars or bolts. This simple construction method dramatically reduces the cost of making tunnels through rock safe from collapse. Thanks to our sponsor Dollar Shave Club, new members get their 1st month of the Daily Essentials Starter Set including trial-sized versions of their Shave Butter, Body Cleanser and One Wipe Charlies’ Butt Wipes along with their Executive Razor for ONLY $5 with FREE shipping. -Patreon: http://patreon.com/PracticalEngineering -Website: http://practical.engineering Tonic and Energy by Elexive is licensed under a Creative Commons Attribution License Source: https://www.youtube.com/watch?v=U6fBPdu8w9U
Views: 1379977 Practical Engineering
What is a HashTable Data Structure - Introduction to Hash Tables , Part 0
 
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This tutorial is an introduction to hash tables. A hash table is a data structure that is used to implement an associative array. This video explains some of the basic concepts regarding hash tables, and also discusses one method (chaining) that can be used to avoid collisions. Wan't to learn C++? I highly recommend this book http://amzn.to/1PftaSt Donate http://bit.ly/17vCDFx STILL NEED MORE HELP? Connect one-on-one with a Programming Tutor. Click the link below: https://trk.justanswer.com/aff_c?offer_id=2&aff_id=8012&url_id=238 :)
Views: 812568 Paul Programming
Scrape Websites with Python + Beautiful Soup 4 + Requests -- Coding with Python
 
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Coding with Python -- Scrape Websites with Python + Beautiful Soup + Python Requests Scraping websites for data is often a great way to do research on any given idea. This tutorial takes you through the steps of using the Python libraries Beautiful Soup 4 (http://www.crummy.com/software/BeautifulSoup/bs4/doc/#) and Python Requests (http://docs.python-requests.org/en/latest/). Reference code available under "Actions" here: https://codingforentrepreneurs.com/projects/coding-python/scrape-beautiful-soup/ Coding for Python is a series of videos designed to help you better understand how to use python. Assumes basic knowledge of python. View all my videos: http://bit.ly/1a4Ienh Join our Newsletter: http://eepurl.com/NmMcr A few ways to learn Django, Python, Jquery, and more: Coding For Entrepreneurs: https://codingforentrepreneurs.com (includes free projects and free setup guides. All premium content is just $25/mo). Includes implementing Twitter Bootstrap 3, Stripe.com, django, south, pip, django registration, virtual environments, deployment, basic jquery, ajax, and much more. On Udemy: Bestselling Udemy Coding for Entrepreneurs Course: https://www.udemy.com/coding-for-entrepreneurs/?couponCode=youtubecfe49 (reg $99, this link $49) MatchMaker and Geolocator Course: https://www.udemy.com/coding-for-entrepreneurs-matchmaker-geolocator/?couponCode=youtubecfe39 (advanced course, reg $75, this link: $39) Marketplace & Dail Deals Course: https://www.udemy.com/coding-for-entrepreneurs-marketplace-daily-deals/?couponCode=youtubecfe39 (advanced course, reg $75, this link: $39) Free Udemy Course (80k+ students): https://www.udemy.com/coding-for-entrepreneurs-basic/ Fun Fact! This Course was Funded on Kickstarter: http://www.kickstarter.com/projects/jmitchel3/coding-for-entrepreneurs
Views: 416745 CodingEntrepreneurs
Detecting Motifs Under Uniform Scaling
 
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Time series motifs are approximately repeated patterns found within the data. Such motifs have utility for many data mining algorithms, including rule-discovery, novelty-detection, summarization and clustering. In this video we demonstrate that when looking for time series motifs one needs to account for uniform scaling, the speed at which the patterns develop.
Views: 940 dyankov
How To... Perform a Chi-Square Test (By Hand)
 
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Also known as a "Goodness of Fit" test, use this single sample Chi-Square test to determine if there is a significant difference between Observed and Expected values. This video shows a step-by-step method for calculating Chi-square.
Views: 434558 Eugene O'Loughlin
2 - Data warehouse Architecture  Overview
 
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A quick video to understand standard Datawarehouse architecture. It consists of following layers 1. Data Source layer 2. ETL 3. Staging Area 4. Datawarehouse - Metadata, Summary and Raw Data 5. OLAP, Reporting and Data Mining Data warehouse is populated from multiple sources for an organisation. All these source system comes under Data Source layer. Some of the source systems are listed below: 1. Operations Systems -- such as Sales, HR, Inventory relational database. 2. ERP (SAP) and CRM (SalesForce.com) Systems. 3. Web server logs and Internal market research data. 4. Third-party data - such as census data, demographics data, or survey data. ETL Tools: Talend Open Studio, Jaspersoft ETL, Ab initio, Informatica, Datastage, Clover ETL, Pentaho ETL, Kettle For more details visit http://www.vikramtakkar.com/2015/09/data-warehouse-architecture-overview.html Datawarehouse Playlist: https://www.youtube.com/playlist?list=PLJ4bGndMaa8FV7nrvKXeHCLRMmIXVCyOG
Views: 93723 Vikram Takkar
ROC Curve & Area Under Curve (AUC) with R - Application Example
 
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Provides easy to apply example obtaining ROC curve and AUC using R. Data: https://goo.gl/VoHhyh Machine Learning videos: https://goo.gl/WHHqWP Includes an example with, - logistic regression model - confusion matrix - misclassification rate - rocr package - accuracy versus cutoff curve - identifying best cutoff values for best accuracy - roc curve - true positive rate (tpr) or sensitivity - false positive rate (fpr) or '1-specificity' - area under curve (auc) roc curve is an important model evaluation tool related to analyzing big data or working in data science field. R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry. R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular.
Views: 46688 Bharatendra Rai
Decision Analysis 3: Decision Trees
 
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This brief video explains *the components of the decision tree *how to construct a decision tree *how to solve (fold back) a decision tree. Other videos: Decision Analysis 1: Maximax, Maximin, Minimax Regret https://youtu.be/NQ-mYn9fPag Decision Analysis 1.1 (Costs): Maximax, Maximin, Minimax Regret https://youtu.be/ajkXzvVegBk Decision Analysis 2.1: Equally Likely (Laplace) and Realism (Hurwicz) https://www.youtube.com/watch?v=zlblUq9Dd14 Decision Analysis 2: EMV & EVPI - Expected Value & Perfect Information https://www.youtube.com/watch?v=tbv9E9D2BRQ Decision Analysis 4: EVSI - Expected Value of Sample Information https://www.youtube.com/watch?v=FUY07dvaUuE Decision Analysis 5: Posterior Probability Calculations https://youtu.be/FpKiHpYnY_I
Views: 219955 Joshua Emmanuel
Evaluating Classifiers: Understanding the ROC Curve 1/2
 
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My web page: www.imperial.ac.uk/people/n.sadawi
Views: 47887 Noureddin Sadawi
ROC and AUC, Clearly Explained!
 
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NOTE: At 8:24 in this video there is a typo and I incorrectly labeled the True Negatives. It should read (and say), "True Negatives are correctly classified as _not_ obese". I will correct this as soon as YouTube allows me to. ROC (Receiver Operator Characteristic) graphs and AUC (the area under the curve), are useful for consolidating the information from a ton of confusion matrices into a single, easy to interpret graph. This video walks you through how to create and interpret ROC graphs step-by-step. We then show how the AUC can be used to compare classification methods and, lastly, we talk about what to do when your data isn't as warm and fuzzy as it should be. There is an error at 8:24: True negatives should be “correctly classified as _not_ obese”. Oops! NOTE: This video assumes you already know about Confusion Matrices... https://youtu.be/Kdsp6soqA7o ...Sensitivity and Specificity... https://youtu.be/sunUKFXMHGk ...and the example I work through is based on Logistic Regression, so it would help to understand the basics of that as well: https://youtu.be/yIYKR4sgzI8 For a complete index of all the StatQuest videos, check out: https://statquest.org/video-index/ If you'd like to support StatQuest, please consider a cool StatQuest t-shirt or sweatshirt... https://teespring.com/stores/statquest ...or buying one or two of my songs (or go large and get a whole album!) https://joshuastarmer.bandcamp.com/ ...or just donating to StatQuest! https://www.paypal.me/statquest Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter: https://twitter.com/joshuastarmer
Decision Tree Analysis IN HINDI With  Solved Practical by JOLLY Coaching
 
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This video is about DECISION TREE ANALYSIS which will help you to understand the basic concept of decision tree analysis. In this video i have solved one practical question which will help you to get the process of solving any numerical question and example. After watching you will also get to know that how to construct the decision tree. I hope this will help you. Thanks JOLLY Coaching how to solve decision tree problem, Decision tree analysis, How to solve decision tree analysis, Practical solved questios on decision tree analysis. decision threoy decision tree analysis
Views: 139841 JOLLY Coaching
Intro and Getting Stock Price Data - Python Programming for Finance p.1
 
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Welcome to a Python for Finance tutorial series. In this series, we're going to run through the basics of importing financial (stock) data into Python using the Pandas framework. From here, we'll manipulate the data and attempt to come up with some sort of system for investing in companies, apply some machine learning, even some deep learning, and then learn how to back-test a strategy. I assume you know the fundamentals of Python. If you're not sure if that's you, click the fundamentals link, look at some of the topics in the series, and make a judgement call. If at any point you are stuck in this series or confused on a topic or concept, feel free to ask for help and I will do my best to help. https://pythonprogramming.net https://twitter.com/sentdex https://www.facebook.com/pythonprogramming.net/ https://plus.google.com/+sentdex
Views: 332523 sentdex
Single Cell Orange 03: Loading Single Cell Data from Tab-Delimited Files
 
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In the video, we explain how to load your own data from Excel and other tab-delimited files and how to use labels from different data sets. Download the first data from: https://www.sciencedirect.com/science/article/pii/S1534580718307834#app2 Download the second data from: https://portals.broadinstitute.org/single_cell/study/div-seq-single-nucleus-rna-seq-of-dividing-cells-in-the-adult-mouse-brain-and-spinal-cord#study-download, file name is Div-Seq.DG.Running_Average_logTPMs_normalized.txt.gz. Design: Agnieszka Rovšnik Created by: Laboratory for Bioinformatics, Faculty of Computer and Information Science, University of Ljubljana
Views: 727 Orange Data Mining
Maths: Simpson's Paradox
 
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A back to basics video. Simpson's Paradox is more than just a curiosity, it illustrates how important it is to interperet your data correctly. If you are not careful it is still possible to have good data and bad conclusions.
Views: 347164 singingbanana
How to Scrape Data From the Web Using Google Spreadsheet
 
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How to Scrape Data From the Web Using Google Spreadsheet
Views: 140598 gu_productions
Decision Tree with R | Complete Example
 
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Also called Classification and Regression Trees (CART) or just trees. R file: https://goo.gl/Kx4EsU Data file: https://goo.gl/gAQTx4 Includes, - Illustrates the process using cardiotocographic data - Decision tree and interpretation with party package - Decision tree and interpretation with rpart package - Plot with rpart.plot - Prediction for validation dataset based on model build using training dataset - Calculation of misclassification error Decision trees are an important tool for developing classification or predictive analytics models related to analyzing big data or data science. R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry. R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular.
Views: 59037 Bharatendra Rai
StatQuest: Decision Trees
 
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This StatQuest focuses on the machine learning topic "Decision Trees". Decision trees are a simple way to convert a table of data that you have sitting around your desk into a means to predict and classify new data as it comes. There is a minor error at 12:43: The Gini Impurity for Chest Pain should be 0.19. For a complete index of all the StatQuest videos, check out: https://statquest.org/video-index/ If you'd like to support StatQuest, please consider a StatQuest t-shirt or sweatshirt... https://teespring.com/stores/statquest ...or buying one or two of my songs (or go large and get a whole album!) https://joshuastarmer.bandcamp.com/ ...or just donating to StatQuest! https://www.paypal.me/statquest
Median Mean Modal Class Interval for Group Data in Statistics
 
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Playlist on Group Data Statistics: https://www.youtube.com/playlist?list=PLJ-ma5dJyAqpHrVLEPUD6VV3CHxKlDzhn Related Video for Understanding Inclusive Class Interval: https://www.youtube.com/watch?v=sN9XeRXtCEA&index=6&list=PLJ-ma5dJyAqpHrVLEPUD6VV3CHxKlDzhn https://www.youtube.com/watch?v=P0RL4Z7reOg&t=23s&list=PLJ-ma5dJyAqpHrVLEPUD6VV3CHxKlDzhn&index=2 CORRECTION: Median will be between 50th and 51st term. We will use the value 50.5. That will change the result a bit 50.5 - 33 = 17.5; 17.5x10/30 = 5.83 and so the median will be 50 + 5.83 = 55.83 While using the formula L could be taken as 50.5 as some schools use that value. Measures of Spread - Standard Deviation, Percentile, Z-Score, Quartiles and Box-Whisker Plots : https://www.youtube.com/playlist?list=PLJ-ma5dJyAqprvhO3Ki6LrW7kR1U-s1pL
Views: 232450 Anil Kumar
Extract Tables in Web Page
 
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Using Visual Web Ripper to extract table data from web site
Views: 1743 sequentum
Decision Tree Tutorial in 7 minutes with Decision Tree Analysis & Decision Tree Example (Basic)
 
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Clicked here http://www.MBAbullshit.com/ and OMG wow! I'm SHOCKED how easy.. No wonder others goin crazy sharing this??? Share it with your other friends too! Fun MBAbullshit.com is filled with easy quick video tutorial reviews on topics for MBA, BBA, and business college students on lots of topics from Finance or Financial Management, Quantitative Analysis, Managerial Economics, Strategic Management, Accounting, and many others. Cut through the bullshit to understand MBA!(Coming soon!) http://www.youtube.com/watch?v=a5yWr1hr6QY
Views: 565997 MBAbullshitDotCom
Ultimate Mega-Workstation PC Build Guide
 
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Thanks to Cooler Master for sponsoring this video! Check out their new COSMOS C700P case on Newegg: http://geni.us/YygBmtN Check out their new COSMOS C700P case on Amazon: http://geni.us/4WZ21 At over $7,000, it's the most expensive build guide we've ever done: a Threadripper 1950X CPU in a luxurious Cosmos C700P case. /drool. Buy Threadripper CPUs on Amazon: http://geni.us/zZlBx Buy MasterLiquid 240 on Amazon: http://geni.us/yDJmGu Buy ASUS Zenith Extreme on Amazon: http://geni.us/fe3NEl Buy Trident Z RGB RAM on Amazon: http://geni.us/rHoB Buy Zotac GTX 1080 Ti on Amazon: http://geni.us/HNUQA Buy MasterWatt Maker 1200 MIJ on Amazon: http://geni.us/kIJ7 Buy MasterKeys Pro L Keyboard on Amazon: http://geni.us/z7yT Buy MasterMouse Pro L Mouse on Amazon: http://geni.us/aDfBy Buy Ultrawide Monitors on Amazon: http://geni.us/TL1ZPZK Discuss on the forum: https://linustechtips.com/main/topic/842542-ultimate-mega-workstation-build-guide/ Our Affiliates, Referral Programs, and Sponsors: https://linustechtips.com/main/topic/75969-linus-tech-tips-affiliates-referral-programs-and-sponsors Linus Tech Tips merchandise at http://www.designbyhumans.com/shop/LinusTechTips/ Linus Tech Tips posters at http://crowdmade.com/linustechtips Our production gear: http://geni.us/cvOS Twitter - https://twitter.com/linustech Facebook - http://www.facebook.com/LinusTech Instagram - https://www.instagram.com/linustech Twitch - https://www.twitch.tv/linustech Intro Screen Music Credit: Title: Laszlo - Supernova Video Link: https://www.youtube.com/watch?v=PKfxmFU3lWY iTunes Download Link: https://itunes.apple.com/us/album/supernova/id936805712 Artist Link: https://soundcloud.com/laszlomusic Outro Screen Music Credit: Approaching Nirvana - Sugar High http://www.youtube.com/approachingnirvana Sound effects provided by http://www.freesfx.co.uk/sfx/
Views: 2564978 Linus Tech Tips
TimeXtender - under the hood
 
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Jae Wilson from Onyx Reporting takes an under the hood look at TimeXtender's datawarehouse automation tool. See full blog post at: http://www.onyxreporting.com/blog/what-is-data-warehouse-automation-and-why-should-your-cxo-care
Views: 862 Jae Wilson
Automated data scraping from websites into Excel
 
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Our Excel training videos on YouTube cover formulas, functions and VBA. Useful for beginners as well as advanced learners. New upload every Thursday. For details you can visit our website: http://www.familycomputerclub.com You can scrape, pull or get data from websites into Excel by performing a few simple steps. 1. record a macro to find out how one or many tables or data can be scraped from the website 2. Study the code carefully 3. Create an Excel sheet containing the links that get you the data from the appropriate web pages 4. Automate the process using a loop that creates a) New worksheets b) Automatically changes the link to the web pages that have the required data You can view the complete Excel VBA code here: http://www.familycomputerclub.com/scrpae-pull-data-from-websites-into-excel.html http://www.familycomputerclub.com/get-web-page-data-int-excel-using-vba.html Interesting Links: http://www.tushar-mehta.com/publish_train/xl_vba_cases/vba_web_pages_services/index.htm Get the book Excel 2016 Power Programming with VBA: http://amzn.to/2kDP35V If you are from India you can get this book here: http://amzn.to/2jzJGqU
Views: 531023 Dinesh Kumar Takyar
02 - Random Variables and Discrete Probability Distributions
 
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Get more lessons & courses at http://www.mathtutordvd.com In this lesson, the student will learn the concept of a random variable in statistics. We will then use the idea of a random variable to describe the discrete probability distribution, which is a key idea used to solve statistics problems.
Views: 235789 mathtutordvd
Mining Your Logs - Gaining Insight Through Visualization
 
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Google Tech Talk (more info below) March 30, 2011 Presented by Raffael Marty. ABSTRACT In this two part presentation we will explore log analysis and log visualization. We will have a look at the history of log analysis; where log analysis stands today, what tools are available to process logs, what is working today, and more importantly, what is not working in log analysis. What will the future bring? Do our current approaches hold up under future requirements? We will discuss a number of issues and will try to figure out how we can address them. By looking at various log analysis challenges, we will explore how visualization can help address a number of them; keeping in mind that log visualization is not just a science, but also an art. We will apply a security lens to look at a number of use-cases in the area of security visualization. From there we will discuss what else is needed in the area of visualization, where the challenges lie, and where we should continue putting our research and development efforts. Speaker Info: Raffael Marty is COO and co-founder of Loggly Inc., a San Francisco based SaaS company, providing a logging as a service platform. Raffy is an expert and author in the areas of data analysis and visualization. His interests span anything related to information security, big data analysis, and information visualization. Previously, he has held various positions in the SIEM and log management space at companies such as Splunk, ArcSight, IBM research, and PriceWaterhouse Coopers. Nowadays, he is frequently consulted as an industry expert in all aspects of log analysis and data visualization. As the co-founder of Loggly, Raffy spends a lot of time re-inventing the logging space and - when not surfing the California waves - he can be found teaching classes and giving lectures at conferences around the world. http://about.me/raffy
Views: 25602 GoogleTechTalks
Video tutorial for crowdsourcing PDF data mining in Crowdcrafting
 
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This video shows how you can import from Dropbox PDF files into Crowdcrafting, to crowdsource the analysis of the PDF documents with just a few clicks.
How to calculate Standard Deviation and Variance
 
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Tutorial on calculating the standard deviation and variance for statistics class. The tutorial provides a step by step guide. Like us on: http://www.facebook.com/PartyMoreStudyLess Related Videos: How to Calculate Mean and Standard Deviation Using Excel http://www.youtube.com/watch?v=efdRmGqCYBk Why are degrees of freedom (n-1) used in Variance and Standard Deviation http://www.youtube.com/watch?v=92s7IVS6A34 Playlist of z scores http://www.youtube.com/course?list=EC6157D8E20C151497 David Longstreet Professor of the Universe Like us on: http://www.facebook.com/PartyMoreStudyLess Professor of the Universe: David Longstreet http://www.linkedin.com/in/davidlongstreet/ MyBookSucks.Com
Views: 1806336 statisticsfun
13. Classification
 
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MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016 View the complete course: http://ocw.mit.edu/6-0002F16 Instructor: John Guttag Prof. Guttag introduces supervised learning with nearest neighbor classification using feature scaling and decision trees. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 43832 MIT OpenCourseWare
Evaluating Classifiers: Confusion Matrix for Multiple Classes
 
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Confusion Matrix for Multiple Classes www.imperial.ac.uk/people/n.sadawi
Views: 57622 Noureddin Sadawi
Nominal, ordinal, interval and ratio data: How to Remember the differences
 
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Learn the difference between Nominal, ordinal, interval and ratio data. http://youstudynursing.com/ Research eBook on Amazon: http://amzn.to/1hB2eBd Check out the links below and SUBSCRIBE for more youtube.com/user/NurseKillam For help with Research - Get my eBook "Research terminology simplified: Paradigms, axiology, ontology, epistemology and methodology" here: http://www.amazon.com/dp/B00GLH8R9C Related Videos: http://www.youtube.com/playlist?list=PLs4oKIDq23AdTCF0xKCiARJaBaSrwP5P2 Connect with me on Facebook Page: https://www.facebook.com/NursesDeservePraise Twitter: @NurseKillam https://twitter.com/NurseKillam Facebook: https://www.facebook.com/laura.killam LinkedIn: http://ca.linkedin.com/in/laurakillam Quantitative researchers measure variables to answer their research question. The level of measurement that is used to measure a variable has a significant impact on the type of tests researchers can do with their data and therefore the conclusions they can come to. The higher the level of measurement the more statistical tests that can be run with the data. That is why it is best to use the highest level of measurement possible when collecting information. In this video nominal, ordinal, interval and ratio levels of data will be described in order from the lowest level to the highest level of measurement. By the end of this video you should be able to identify the level of measurement being used in a study. You will also be familiar with types of tests that can be done with each level. To remember these levels of measurement in order use the acronym NOIR or noir. The nominal level of measurement is the lowest level. Variables in a study are placed into mutually exclusive categories. Each category has a criteria that a variable either has or does not have. There is no natural order to these categories. The categories may be assigned numbers but the numbers have no meaning because they are simply labels. For example, if we categorize people by hair color people with brown hair do not have more or less of this characteristic than those with blonde hair. Nominal sounds like name so it is easy to remember that at a nominal level you are simply naming categories. Sometimes researchers refer to nominal data as categorical or qualitative because it is not numerical. Ordinal data is also considered categorical. The difference between nominal and ordinal data is that the categories have a natural order to them. You can remember that because ordinal sounds like order. While there is an order, it is also unknown how much distance is between each category. Values in an ordinal scale simply express an order. All nominal level tests can be run on ordinal data. Since there is an order to the categories the numbers assigned to each category can be compared in limited ways beyond nominal level tests. It is possible to say that members of one category have more of something than the members of a lower ranked category. However, you do not know how much more of that thing they have because the difference cannot be measured. To determine central tendency the categories can be placed in order and a median can now be calculated in addition to the mode. Since the distance between each category cannot be measured the types of statistical tests that can be used on this data are still quite limited. For example, the mean or average of ordinal data cannot be calculated because the difference between values on the scale is not known. Interval level data is ordered like ordinal data but the intervals between each value are known and equal. The zero point is arbitrary. Zero simply represents an additional point of measurement. For example, tests in school are interval level measurements of student knowledge. If you scored a zero on a math test it does not mean you have no knowledge. Yet, the difference between a 79 and 80 on the test is measurable and equal to the difference between an 80 and an 81. If you know that the word interval means space in between it makes remembering what makes this level of measurement different easy. Ratio measurement is the highest level possible for data. Like interval data, Ratio data is ordered, with known and measurable intervals between each value. What differentiates it from interval level data is that the zero is absolute. The zero occurs naturally and signifies the absence of the characteristic being measured. Remember that Ratio ends in an o therefore there is a zero. Typically this level of measurement is only possible with physical measurements like height, weight and length. Any statistical tests can be used with ratio level data as long as it fits with the study question and design.
Views: 339829 NurseKillam
Load/run DEAFrontier under Excel 97-2003
 
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This video shows how to properly run the DEAFrontier software under Excel 97-2003. Please visit www.deafrontier.net for more information
Views: 7731 deafrontier
Python: Working with Raw Data - Engineer Man Live
 
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TBD. Hope you enjoyed the video! Check out this code here: https://github.com/engineer-man/youtube-code/tree/master/stream019 Join my Discord server to chat with me: https://discord.gg/engineerman Check out some code on my GitHub: https://github.com/ebrian/engineerman Tweet me something funny on Twitter: https://twitter.com/_EngineerMan Say hi over at Facebook: https://www.facebook.com/engineermanyt Sincerely, Engineer Man
Views: 8040 Engineer Man
06 Predictive Analytics Training with Weka (Visualizing your data)
 
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Data Mining and Predictive Analytics training course using the open source Weka tool. Videos producted by the University of Waikato, New Zealand. Posted by Rapid Progress Marketing and Modeling, LLC (RPM2) under CC BY 3.0 RPM2 is a full-service Predictive Analytics and Data Sciences Services company specializing in Model Development, Consulting, Direct Marketing Services, and Professional Training. Visit us at http://www.RPMSquared.com/
Views: 9003 Predictive Analytics
Import Data, Analyze, Export and Plot in Python
 
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A common task in data science is to analyze data from an external source that may be in a text or comma separated value (CSV) format. By importing the data into Python, data analysis such as statistics, trending, or calculations can be made to synthesize the information into relevant and actionable information. This demonstrates how to import data, perform a basic analysis such as average values, trend the results, save the figure, and export the results to another text file.
Views: 49466 APMonitor.com
Analysis of Variance (ANOVA)
 
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A description of the concepts behind Analysis of Variance. There is an interactive visualization here: http://demonstrations.wolfram.com/VisualANOVA/ but I have not tried it, and this: http://rpsychologist.com/d3-one-way-anova has another visualization
Views: 558645 J David Eisenberg
Awesome Table - Build Web Apps from Spreadsheets
 
01:47
Display Google Sheets data into beautiful, functional and filterable views. Embed your views in your website like Google Sites, Wordpress, Wix, Drupal, Zendesk ... *** INSTALL AWESOME TABLE NOW *** https://gsuite.google.com/marketplace/app/awesome_table/56088344336 *** GET HELP CREATING YOUR FIRST VIEW *** https://support.awesome-table.com/hc/en-us/categories/115000692505-create-awesome-table-view ----------------------------------------------------------------------------------------------------------- Awesome Table lets you display the content of a Google Sheet into various types of views: From a simple table to people directories, Gantt chart views, Google Maps, cards views, slideshows … There are many possibilities to suit your personal and professional needs. ----------------------------------------------------------------------------------------------------------- *** NEED HELP? *** - Check out our documentation: https://support.awesome-table.com/hc/en-us - Contact us at [email protected] - Find answers in our forum: https://plus.google.com/communities/117434057513505498243 ----------------------------------------------------------------------------------------------------------- Awesome Table is compatible with classic and new version of Google Sites, but also any other website, intranet or CMS (Wordpress, Joomla!, Drupal, ExpressionEngine, Text Pattern, Contao, Silver Stripe, Umbraco, Concrete 5, Cushy CMS, ModX…). The only requirement is a Google account. Display your data in a nice and user-friendly view with one of our templates. A wide range of available layout is waiting for you: - Table view to list information, announcements ... - Cards view to present product catalogs, business cards ... - Gantt chart to oversee projects more efficiently using filters - People directory to browse through profiles and add useful contact information to them - Video gallery to display your media files with comments on them - Advanced summary of responses to improve the display of Google Form responses and facilitate data mining - Google Maps view to search areas through the interactive map with useful information (eg. best restaurants, libraries …)
Views: 48008 Awesome Table
Experiment Database for Machine Learning Tutorial -  SQL Querying
 
03:02
The experiment database for machine learning - http://expdb.cs.kuleuven.be - allows you to browse the results of millions of data mining experiments, with hundreds of data mining algorithms. This tutorial video explains how to use the graphical query interface and simple visualizations.
Views: 977 Joaquin Vanschoren
08 common Job Interview Questions and Answers in Hindi || Job interview best tips in hindi -
 
11:07
08 common Job Interview Questions and Answers in Hindi || Job interview best tips in Hindi - By ashok etutor - Watch our English Version Video on This Link: https://www.youtube.com/watch?v=WZAxXZ3q6Z4 Job Interview Tips | 08 Important Job Interview Tips in Hindi: https://www.youtube.com/watch?v=Be1q-mTO6q0 08 Important Jobs tips for freshers : https://www.youtube.com/watch?v=JzKpu32GUes Top 7 Job Interview Tips in Hindi | जॉब इंटरव्यू कैसे दें || Interview की तैयारी कैसे करें: https://www.youtube.com/watch?v=OmYCnN5iqXM
Views: 4817635 ASHOK ETUTOR
Minecraft Down Under S2 - Live Stream 5 - Netflix & chill? Nah... Data & Chill
 
01:04:28
First things first a MASSIVE shout out to my top 2 donators of this month ELEKTRONIC & MightyX117..... You 2 are AMAZING, I cannot thank you enough for your support Ok lets get down to business. In tonight's mining livestream, we chinwag with the fans about upgrading the chicken farm, thumbs downing comments and people thinking I have removed them and we touch more on colours. OH and I can't forget our new mate "Emerald Zombie" Lol thanks for the "troll" Aeare hahahaha Missed an episode Of MDU S2? The Playlist here! https://goo.gl/b8zvJd Missed a Live Stream Of MDU S2? The Playlist here! https://goo.gl/2PC2BN The Mob Bob Farm https://www.youtube.com/watch?v=E76Y6beelXc Data's Official Minecraft Server! https://goo.gl/0PT3dJ Data's Website http://www.dataless822.net Data's Twitch www.twitch.tv/Dataless822 Data's Twitter https://twitter.com/Dataless822 Data's Facebook http://goo.gl/qhNvkZ World Download Link -Coming Soon- World Seed -Coming Soon- Data's P.O BOX https://goo.gl/2CeDvP Wanna Donate to Data? http://goo.gl/HWbuCm Plotz voxel sphere & ellipsoid guide http://www.plotz.co.uk/plotz.php Texture Pack / Resource pack https://goo.gl/vheE0P Intro Music Carousel - Let's Go Home (Sound Remedy Remix) http://goo.gl/7bMdDD Outro Music "Hope" by Tobu is released on NoCopyrightSounds, the record label dedicated to releasing free music which can be freely used in media creations.http://goo.gl/ryJIX9 Special Thanks to our Animator Tewtiy Please check him out leave him a Thanks and Subscribe http://goo.gl/aZ3Koc
Views: 1714 Dataless822
2011 GPU fix: finally here. Meet dosdude.
 
35:39
Support the stream: https://streamlabs.com/louisrossmannliveboardrepair Multistreaming with https://restream.io/ 👉 Below we list tools & recording gear we use, repair guides to help you learn, online chip sources, & donation links: 👉 Leave a tip: http://bit.ly/tiplouis 👉 CHIPS & COMPONENTS: › http://bit.ly/2jaAOXM 👉 Discord: https://discord.gg/4a2mJcm 👉 TOOLS USED: ✓ Soldering Irons: › Louis' Hakko station(no tweezers): http://amzn.to/2cKkMyO › Paul's Hakko station(works with tweezers): http://amzn.to/2yMvWNy › Micro Soldering Pencil: http://amzn.to/2d5MWUP › Hot tweezers: http://amzn.to/2yMvZsZ › Quick 861DW hot air station: http://bit.ly/quick861dw ✓ CHEAP HAKKO ALTERNATIVES: › TS100 soldering iron: https://amzn.to/2Gy1Fqz › Recommended tips: TS-C4: https://amzn.to/2GSDoz3 TS-KU https://amzn.to/2Elofke ✓ Preferred Soldering Tips › Fine: http://amzn.to/2d5MgPn › Flat: https://amzn.to/2JnsDBT › GPU wicking: http://amzn.to/2w8chtB › Micro soldering tip: http://amzn.to/2qUSFDh ✓ Microscopes: › Microscope: http://amzn.to/2iLrE16 › Barlow lens: http://amzn.to/2yMKdKf › LED light: http://amzn.to/2nzfPT2 › CHEAP alternative microscope: http://amzn.to/2rTlHbj ✓ Soldering/Repair Supplies: › Solder: http://amzn.to/2cKkxUp › Desoldering braid: http://bit.ly/2otflOX › Flux: http://bit.ly/amtechflux › Solder paste: http://bit.ly/amtechsolderpaste › THICK insulated jumper wire: https://amzn.to/2rvtD0A › THIN insulated jumper wire: https://amzn.to/2I47DQY › Kapton tape: http://amzn.to/2yN0xuq › Tweezers: http://amzn.to/2d5NBpi › Blades: http://amzn.to/2ByWnvF › Freeze Spray: http://amzn.to/2BySozw › Conformal coating: http://bit.ly/greencoate › Conformal coating curing pen: http://bit.ly/uvpen ✓ Diagnostic tools: › USB amp meter: http://bit.ly/2B2Lu5W › USB-C amp meter: http://bit.ly/usbcamp › On-Screen multimeter: http://amzn.to/2jtgY9K › Multimeter Probes: http://bit.ly/fineprobes › CHEAP multimeter: http://amzn.to/2zjkg8U › Bench PSU: PPS2116A: http://amzn.to/2ibannT › Phoneboard: https://phoneboard.co ✓ Ultrasonic Cleaning: › ALL MACBOOKS & CELLPHONES: Crest P1200H-45: http://bit.ly/P1200H45 › PRE-TOUCHBAR MACBOOKS & CELLPHONES: Crest P500H-45: http://bit.ly/P500H45 › CELLPHONES ONLY: Crest P230H-45: http://bit.ly/P230H45 › Branson EC cleaning fluid: http://amzn.to/2cKlBrp ✓ Desk supplies: › Desk: http://amzn.to/2yMShdZ › Chair: https://amzn.to/2LB8bUB › Fume Extractor: http://amzn.to/2d5MGoD › Work mat: http://amzn.to/2yMtlTR › Outlets: http://amzn.to/2yNsZwo › Gloves: http://amzn.to/2iUfumS › Durable lightning cable: http://amzn.to/2yNHzUt › Fine tipped snippers: http://amzn.to/2HGt4XB ✓ Screwdrivers: › iPhone bottom screws: http://amzn.to/2yNwX8p › Macbook bottom screws: http://amzn.to/2AKMdVb › Torx T3: http://amzn.to/2zjtxxH › Torx T5 http://amzn.to/2BLNDn4 › Torx T6 http://amzn.to/2B0XIfA › Torx T8 http://amzn.to/2CpWp68 › Phillips #0: http://amzn.to/2AJaHhM › Phillips #000: http://amzn.to/2yNqsCl ✓ Boardview software used: https://pldaniels.com/flexbv/ ✓ RECORDING EQUIPMENT: › Work cam: https://amzn.to/2QjHnt0 › Overhead cam: http://amzn.to/2eAH0oT › Work mic: https://amzn.to/2WGIhzw › Home mic: https://amzn.to/2xfampC › Microscope camera: http://amzn.to/2icVQoG - mine is DISCONTINUED, closest one I can find. › HDMI capture: http://amzn.to/2iyGcle 👉 REPAIR SERVICES: › We fix Macbooks & offer free estimates. http://bit.ly/RossmannLocalBoardRepair › Send your Macbook if you live far away! http://www.sendyourmacbook.com › Manage a school district using Macs? Save money through repair, training & buyback programs! http://bit.ly/2ow4Z17 › We offer iPhone data recovery: http://bit.ly/2BDBX4G 👉 LEARN HOW TO DO THIS: › Beginner's guide: http://bit.ly/2k6uz84 › Support forum: $29/mo http://bit.ly/2nX8rMC 👉 SHILLING: › Buying on eBay? Support us while you shop! https://www.rossmanngroup.com/ebay › Rossmann Repair Group Inc is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to amazon.com 👉 Leave a tip for us via cryptocurrency if we've helped you out: › Credit card: http://bit.ly/tiplouis › Bitcoin: 1EaEv8DBeFfg6fE6BimEmvEFbYLkhpcvhj › Bitcoin Cash: qzwtptwa8h0wjjawr5fsm0ku8kf40amgqgm6lx4jxh › Dash: XwQpZuvMvU44JT7C7Uh6xHvkSadzJw9fMN › Dogecoin: DKetsoCvwa2hF29ssgUA4Wz4hxT4kj3KLU › Ethereum: 0x6f6870feb48f08388ee345cf0261e2f03d2fa310 › Ethereum classic: 0x671bfd61ba87edf6365c97cea33d66ba73645510 › Litecoin: LWnbTTAjojZQt68ihFJFgQq3cYHUsTcyd7 › Verge: DFumZ5sMhi3JktLQpsTVtV9xUt3zKDrcZV › Zcash: t1Ko3FkphQYoQroQc8k2DVk4WKMAbmNR8PH › Zcoin: a8QdvArHmdRYe1MjiqtP6jDNe6Z4JgnRKZ › Brave Browser: https://brave.com/lou265
Normal Distribution - Explained Simply (part 1)
 
05:04
*** IMPROVED VERSION of this video here: https://youtu.be/tDLcBrLzBos I describe the standard normal distribution and its properties with respect to the percentage of observations within each standard deviation. I also make reference to two key statistical demarcation points (i.e., 1.96 and 2.58) and their relationship to the normal distribution. Finally, I mention two tests that can be used to test normal distributions for statistical significance. normal distribution, normal probability distribution, standard normal distribution, normal distribution curve, bell shaped curve
Views: 1131657 how2stats
Pasting new data into an MS Gemini table for self-service business intelligence
 
01:12
Pasting new data into an existing #msgemini table - another #geminute screencast. http://screenr.com/2Os
Views: 514 geminute
SECRETS Casinos DON'T Want You To Find Out!
 
10:06
Check out these secrets casinos really don't want you to find out! From blackjack secrets to tricks at roulette, knowing these things casinos are hiding from you will help you to win that big jackpot next time you go to las vegas! Subscribe For New Videos! http://goo.gl/UIzLeB Watch our "Dark SECRETS Walmart DOESNT Want You To Know!" video here: https://youtu.be/Ri9GySOGvgM Watch our "Top 5 Most Mysterious and Powerful Secret Societies" video here: https://youtu.be/0Lu4Uvc5EhA Watch our "Dark SECRETS Brands Don't Want You To Find Out!" video here: https://youtu.be/ejz5wvVpY5w 10. Free Stuff Places like Las Vegas are all about the money. If you have limited funds but still want to gamble, a wise move is to focus on comps. ‘Comp’ stands for ‘complementary’ and it’s the casino’s way of keeping you happy, even if you’re losing. A good tip is to bet high as your opening move. Spending a few extra dollars at the start puts you in the good graces of the casino and the comps should start flowing. For example $20 per hand for blackjack gives the right impression. Don’t do anything you can’t afford though! Also if those comps aren’t happening, ask! A little initiative on your part can go a long way. Even if you are only hanging out in a casino for the weekend, you can get all kinds of free perks! Getting a player’s card is the right way to go. This is similar to a customer loyalty card and they are free. All you have to do is show your ID to register for one and then the casino will send you offers for free stuff using your info, usually in the form of coupons. Your info can also be used to snoop on what you get up to but we’ll go into that a bit later! 9. Money Maze You might ask yourself how you lost all that money after a visit to the casino. Clearly Lady Luck wasn’t on your side. But it will surprise you to learn there is another major factor involved. One that operates on a subliminal level to keep you in the building and make it difficult for you to leave. This is the maze-like design of a casino, something the owners really don’t want you to know about! The psychology of casino design is talked about by writer Bill Friedman in his book ‘Stripping Las Vegas’. Friedman mentions that the best kind of casino layout is like a labyrinth. A labyrinth made up of slot machines and other distractions. The gambler tries to find their way through this elaborate maze to get out, but a combination of short pathways and hard-to-reach exits mean it’s more likely they’ll stop to spend some more money. Some casinos are designed like intimate spaces rather than gaming zones the size of aircraft hangars. This creates a sense of comfort along with the confusion. Add to this perks like free drinks and it’s no wonder you decided to try your luck on the Megabucks machine. You couldn’t even find your way to the exit, plus its hot as hell outside at least in Vegas, so why not stay and chill for just a little while longer...5 more bucks won’t hurt….right?? 8. NORA Software NORA stands for Non Obvious Relationship Awareness. It was devised by Systems Research & Development, a data mining company in Las Vegas. NORA is keeping a close eye on you from the moment you walk in the casino. It’s no surprise you’re going to be watched in a place with lots of money but NORA goes much further. The software gathers a wealth of personal information about players via tools such as loyalty cards. See...that’s how the getcha!!! It then uses that info to weed out cheaters. However it can also be used to judge how valuable you are to the casino based on your activity. Big Brother is watching you!! NORA works hand in hand with CCTV cameras and a team of experts hired by the casino. These include security pros, cryptographers and game theorists. The technology they use is like something out of a Bond movie! Playing chips are fitted with radio frequency transmitters that let experts know if the player is being sneaky with their game. At the same time masses of information is being gathered about you. In fact you hand over much of it willingly - for example when you’re trying to get those all important comps. Some have expressed concern that this gives casinos too much power and that the information can be misused. Others see NORA software as positive for society. The security tech used by Homeland Security to fight terrorism started out in the casinos. Either way casinos aren’t that happy that you know about their snooping! But even so, we probably don’t even know the half of it. Origins Explained is the place to be to find all the answers to your questions, from mysterious events and unsolved mysteries to everything there is to know about the world and its amazing animals!
Views: 2601161 Origins Explained
ExGL linked charts & tables in Excel 2007 & SQL server
 
02:23
Shows how Excel 2007 can be linked to SQL server & then used to produced linked tables, charts & dash boards, all from the same data.
Views: 2777 l4dvd
Google's breaches of privacy have gone TOO FAR!
 
09:35
Google has always been a company that mined user data in order to make money. 15 years ago, most were fine with this. We had a basic agreement that they do a little snooping to sell ads, and we get really amazing, free software. The trust users have in this arrangement has gone WAY off the rails as Google keep pushing the envelope, slowly turning the water temperature hoping that the frog won't notice. DON'T BE THE FROG. 👉 Leave a tip: http://bit.ly/tiplouis 👉 CHIPS & COMPONENTS: › http://bit.ly/2jaAOXM 👉 Discord: https://discord.gg/4a2mJcm 👉 TOOLS USED: ✓ Soldering Irons: › Louis' Hakko station(no tweezers): http://amzn.to/2cKkMyO › Paul's Hakko station(works with tweezers): http://amzn.to/2yMvWNy › Micro Soldering Pencil: http://amzn.to/2d5MWUP › Hot tweezers: http://amzn.to/2yMvZsZ › Quick 861DW hot air station: http://bit.ly/quick861dw ✓ IF THESE COST TOO MUCH, CHECK OUT THE TS100 SETUP: › TS100 soldering iron: https://amzn.to/2Gy1Fqz › Recommended tips: TS-C4: https://amzn.to/2GSDoz3 TS-KU https://amzn.to/2Elofke ✓ Preferred Soldering Tips › Fine: http://amzn.to/2d5MgPn › Flat: https://amzn.to/2JnsDBT › GPU wicking: http://amzn.to/2w8chtB › Micro soldering tip: http://amzn.to/2qUSFDh ✓ Microscopes: › Microscope: http://amzn.to/2iLrE16 › Barlow lens: http://amzn.to/2yMKdKf › LED light: http://amzn.to/2nzfPT2 › CHEAP alternative microscope: http://amzn.to/2rTlHbj ✓ Soldering/Repair Supplies: › Solder: http://amzn.to/2cKkxUp › Desoldering braid: Goot Wick http://bit.ly/2otflOX › Flux: http://bit.ly/amtechflux › Solder paste: http://bit.ly/amtechsolderpaste › THICK insulated jumper wire: https://amzn.to/2rvtD0A › THIN insulated jumper wire: https://amzn.to/2I47DQY › Kapton tape: http://amzn.to/2yN0xuq › Tweezers: http://amzn.to/2d5NBpi › Blades: X-Acto Knife Kit http://amzn.to/2ByWnvF › Freeze Spray: http://amzn.to/2BySozw › Conformal coating: http://bit.ly/greencoate › Curing pen: http://bit.ly/uvpen ✓ Diagnostic tools: › USB amp meter: http://bit.ly/2B2Lu5W › USB-C amp meter: http://bit.ly/usbcamp › On-Screen multimeter: http://amzn.to/2jtgY9K › Multimeter Probes: http://bit.ly/fineprobes › CHEAP multimeter: http://amzn.to/2zjkg8U › Bench PSU: PPS2116A: http://amzn.to/2ibannT ✓ Ultrasonic Cleaning: › ALL MACBOOKS & CELLPHONES: Crest P1200H-45: http://bit.ly/P1200H45 › Branson EC cleaning fluid: http://amzn.to/2cKlBrp ✓ Desk supplies: › Desk: http://amzn.to/2yMShdZ › Chair: http://amzn.to/2yNPv8u › Fume Extractor: http://amzn.to/2d5MGoD › Work mat: http://amzn.to/2yMtlTR › Outlets: http://amzn.to/2yNsZwo › Gloves: http://amzn.to/2iUfumS › Durable lightning cable: http://amzn.to/2yNHzUt › Fine tipped snippers: http://amzn.to/2HGt4XB ✓ Screwdrivers: › iPhone bottom screws: http://amzn.to/2yNwX8p › Macbook bottom screws: http://amzn.to/2AKMdVb › Torx T3: http://amzn.to/2zjtxxH › Torx T5 http://amzn.to/2BLNDn4 › Torx T6 http://amzn.to/2B0XIfA › Torx T8 http://amzn.to/2CpWp68 › Phillips #0: http://amzn.to/2AJaHhM › Phillips #000: http://amzn.to/2yNqsCl ✓ Boardview software used: https://pldaniels.com/flexbv/ ✓ RECORDING EQUIPMENT: › Work cam: https://amzn.to/2QjHnt0 › Overhead cam: http://amzn.to/2eAH0oT › Work mic: https://amzn.to/2WGIhzw › Home mic: https://amzn.to/2xfampC › Microscope camera: http://amzn.to/2icVQoG - mine is DISCONTINUED, this is the closest one I can find. › HDMI capture: http://amzn.to/2iyGcle 👉 REPAIR SERVICES: › We fix Macbooks & offer free estimates. http://bit.ly/RossmannLocalBoardRepair › Mail your Macbook in if you live far away! http://www.sendyourmacbook.com › Manage a school district using Macs? Save money through repair, training & buyback programs! http://bit.ly/2ow4Z17 › We offer iPhone data recovery: http://bit.ly/2BDBX4G 👉 LEARN HOW TO DO THIS: › Beginner's guide: http://bit.ly/2k6uz84 › Support forum: $29/mo http://bit.ly/2nX8rMC 👉 SHILLING: › Buying on eBay? Support us while you shop! https://www.rossmanngroup.com/ebay › Rossmann Repair Group Inc is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to amazon.com 👉 Leave a tip for us via cryptocurrency if we've helped you out: › Credit card/PayPal: http://bit.ly/tiplouis › Bitcoin: 1EaEv8DBeFfg6fE6BimEmvEFbYLkhpcvhj › Bitcoin Cash: qzwtptwa8h0wjjawr5fsm0ku8kf40amgqgm6lx4jxh › Dash: XwQpZuvMvU44JT7C7Uh6xHvkSadzJw9fMN › Dogecoin: DKetsoCvwa2hF29ssgUA4Wz4hxT4kj3KLU › Ethereum: 0x6f6870feb48f08388ee345cf0261e2f03d2fa310 › Ethereum classic: 0x671bfd61ba87edf6365c97cea33d66ba73645510 › Litecoin: LWnbTTAjojZQt68ihFJFgQq3cYHUsTcyd7 › Verge: DFumZ5sMhi3JktLQpsTVtV9xUt3zKDrcZV › Zcash: t1Ko3FkphQYoQroQc8k2DVk4WKMAbmNR8PH › Zcoin: a8QdvArHmdRYe1MjiqtP6jDNe6Z4JgnRKZ
Views: 158898 Louis Rossmann
Lecture 17
 
30:24
Brief discussion on application of ROC curve and cut off value Discuss important aspects like sensitivity and specificity.