Master the Probability Foundations for Data Science & Machine Learning 📊

There is nothing more exciting in the world right now then Machine Learning and Data Analytics! In this one video I will teach you a key part of the Math of Machine Learning and Data Analytics which is Probability. I took everything in a standard 500 page text book on Probability in put it in this one video. I will cover every formula, but also will solve a real world problem with each formula. After this video on Probability I will continue with the Math of Machine Learning by covering Statistics, Linear Algebra and Calculus. If you want to see those videos click the Notification Bell. Transcript of the Video : https://bit.ly/ProbabilityTut Best probability Book : https://amzn.to/3diFOmB MY UDEMY COURSES ARE 87.5% OFF TIL March 26th ($9.99) ONE IS FREE ➡️ Python Data Science Series for $9.99 : Highest Rated & Largest Python Udemy Course + 56 Hrs + 200 Videos + Data Science https://bit.ly/Master_Python_50 ➡️ C++ Programming Bootcamp Series for $9.99 : Over 23 Hrs + 53 Videos + Quizzes + Graded Assignments + New Videos Every Month https://bit.ly/C_Course_50 ➡️ FREE 15 hour Golang Course!!! : https://bit.ly/go-tutorial9 (100 Available) #LearnWithMe #Probability #DataScience Here is a Table of Contents that will allow you to jump around in the video and learn what ever you are interested in. TABLE OF CONTENTS 00:00 Intro 01:31 Probability Definitions 01:44 Union 02:12 Intersection 02:39 Complement 02:59 Conditional Probability 04:30 Contingency Table 04:48 Addition Rule 05:40 Joint Probability 06:00 Dependent vs. Independent 06:45 Independent Events 07:17 Mutually Exclusive Events 07:44 Venn Diagrams 08:39 Tree Diagrams 09:48 Total Probability 11:37 Bayes' Theorem 14:09 Combinatorics 14:22 Permutations 15:46 Combinations 16:57 Poker Probabilities 19:26 Which to use? 19:51 Variations 20:30 Types of Variables 21:00 Discrete Uniform Distribution 21:05 Probability Mass 22:03 Variance 22:35 Relative Frequency Histogram 22:44 Cumulative Distribution 23:03 Expected Value 24:00 Standard Deviation 24:25 Normal Distribution 25:35 Z Score 26:53 Negative Z Score 27:25 Reverse Z Score 28:08 Confidence Intervals 29:58 Binomial Probability 31:35 Poisson Distribution 32:55 Geometric Probability 35:00 Central Limit Theorem 35:26 Negative Binomial Probability 36:15 Which to use? 36:46 Negative Binomial Formula 38:05 Hypergeometric Distribution 40:58 Continuous Probability 42:37 Continuous Probability Formula 43:16 Exponential Distribution 44:34 Exponential Formulas Like the channel? Consider becoming a Patreon and get access to exclusive videos! All Patreons who contribute $1 or more get a FREE coupon code to my Python Programming Bootcamp Series!!! Check it out here: https://www.patreon.com/derekbanas GET FREE STUFF AND SUPPORT MY TUTORIALS 1. Get a Free Stock : https://share.robinhood.com/derekb1560 2. Get 2 Free Audiobooks : https://amzn.to/2Y5FV2p THANK YOU TO MY PATREON SUPPORTERS LIKE : https://shapeganic.com/app/store (Calorie Counter & Weight Tracking App) ckcoder.com vsolutions.be instagram.com/lumarycodes/ github.com/metabake greedygammon.com twitter.com/mrjak318