Все публикации

0:13:32

Maximum Relevancy Minimum Redundancy - MRMR Feature Selection | Hidden Gems of Data Science

0:15:27

Bayesian Hyperparameter Tuning | Hidden Gems of Data Science

3:58:38

Complete SQL course for Data Science - From Scratch

0:08:26

Zero Inflated Regression - Teach your models to predict zeros | Hidden Gems of Data Science

0:08:46

Poisson Distribution using Example | #27 in Statistics for Data Science

0:09:55

Exercise: Binomial Distribution (solved) | #26 in Statistics for Data Science

0:10:09

Understanding Binomial Distribution using Examples | #25 in Statistics for Data Science

0:05:48

Bernoulli Distribution Clearly Explained | #24 in Statistics for Data Science

0:04:56

Kernel Density Estimation | #23 in Statistics for Data Science

0:04:53

Box Cox Transformation | #22 in Statistics for Data Science

0:05:12

Skewness and Kurtosis | #16 in Statistics for Data Science

0:04:11

Central Limit Theorem | #19 in Statistics for Data Science

0:06:00

Z-Score and Standardization | #17 in Statistics for Data Science

0:08:58

Proof that R Squared is Squared Pearson Correlation Coefficient | Hidden Gems of Data Science

0:08:23

PDF of Normal Distribution | #14 in Statistics for Data Science

0:05:53

Normal Distribution aka Gaussian | #13 in Statistics for Data Science

0:03:31

Law of Large Numbers - Exercise | #12 in Statistics for Data Science

0:03:29

Law of Large Numbers | #11 in Statistics for Data Science

0:09:18

Why divide variance by n-1 (Part 1) | #8 in Statistics for Data Science

0:07:41

Population vs Sample | #7 in Statistics for Data Science

0:05:15

Standard Error | #6 in Statistics for Data Science Course

0:08:07

Measures of Dispersion | #5 in Statistics for Data Science Course

0:04:42

Quantiles vs Percentiles vs Quartiles vs Deciles | #4 in Statistics for Data Science Course

0:06:22

#2 Types of Data in Statistics | Statistics for Data Science Course