Video Index

This page contains links to individual videos on Statistics, Statistical Tests, Machine Learning and Live Streams, organized, roughly, by category. Generally speaking, the videos are organized from basic concepts to complicated concepts, so, in theory, you should be able to start at the top and work you way down and everything will make sense.

NOTE: I also have a bunch of playlists for a variety of interests, like Statistics Basics, Linear Regression and Machine Learning. Check them out!!!

Statistics Fundamentals:

Statistical Tests:

Machine Learning and Dealing with large datasets that have lots and lots of measurements per sample:

(NOTE: All of the linear model and curve fitting stuff in the “Basics” section is also considered to be Machine Learning, so make sure you check out those videos).

High-throughput Sequencing Analysis:

Live Streams:

  • 2020-01-06
    • 0:00 Introduction
    • 1:52 Comment #1 – What’s the difference between a single sample of 20 measurements and 4 samples of 5 measurements each.
    • 6:20 Comment #2 – Is machine learning a subset of statistics?
    • 9:59 Comment #3 – A poem!!!
    • 10:51 Viewer Questions/Comments Also, here’s the link to the Introduction to Statistical Learning: http://faculty.marshall.usc.edu/gareth-james/ISL/
  • 2020-01-20
    • 0:00 Introduction
    • 1:04 Comment #1 – What is your favorite machine learning algorithm
    • 4:40 Comment #2 – What id data leakage in machine learning?
    • 8:39 Comment #3 – Where do you learn these nitty gritty details?
    • 13:37 Live Question #1 – R-squared and Adjusted R-squared
    • 17:23 Live Question #2 – How are the videos arranged on https://statquest.org/video-index/ (simple to complex)
    • 18:26 Live Question #3 – Is it important to learn all of the formulas and equations even though we have advanced software that does the work?
  • 2020-02-03
    • 0:00 Silly Song and Introduction
    • 0:18 A big huge announcement
    • 3:14 Question #1 – Do we use statistical models to predict or explain stuff?
    • 8:31 Question #2 – Can you show the effects of regularization?
    • 9:42 My cat, Poe
    • 15:04 Question #3 – How do I choose the best machine learning algorithm for my data?
    • 21:17 Live Questions
  • 2020-02-17
    • 0:00 Silly Song and Introduction
    • 0:46 Question #1 – What do we do with imbalanced data?
    • 13:24 Question #2 – Post-Hoc Tests for ANOVA
    • 22:11 Live Questions
  • 2020-03-02
    • 0:00 Silly Song
    • 1:35 Question #1 – What is the best model for the corona virus epidemic?
    • 4:34 Question #2 – Two types of p-hacking explained and what to do about them:
    • 20:31 Live Questions:
  • 2020-03-16 – Naive Bayes
    • 0:00 Silly Song and Introduction
    • 2:02 Naive Bayes
  • 2020-04-06 – Gaussian Naive Bayes