Probability & Statistics for Machine Learning & Data Science
Beginner's Guide to Probability and Distributions
Jun 17, 202419 min read65
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Probability & Statistics for ML and DSA
In this series, I will cover essential Probability and Statistics concepts for Machine Learning and Data Science. Topics include distributions, hypothesis testing, regression, and more.
Probability & Statistics for Machine Learning & Data Science
Welcome to the 2nd week of learning Probability & Statistics for Machine Learning & Data Science Lesson 1 - Describing Distributions Expected Value Expected value is a way of representing mean value. Question : You throw a fair coin. If it lands head...
Jun 18, 20249 min read34
Probability & Statistics for Machine Learning & Data Science
Welcome to week 3 ! Lesson 1 - Population and Sample Population and Sample Population : The whole group we want to study. Could be 5, 10 or 200 million Sample : The representative small part of the population. Studying the whole population for a spec...
Jun 18, 20245 min read23
Probability & Statistics for Machine Learning & Data Science
Welcome to week 4 ! Lesson 1 - Confidence Intervals Confidence Intervals Confidence intervals are a key concepts in statistics, mainly used to estimate a range within which a population parameter is most likely to fall based on sample data. A 95% con...
Jun 19, 20247 min read22