Все публикации

0:05:24

Normalization vs Standardization | Feature Scaling

0:05:49

PCA Component Profiling| How to profile PCA components

0:05:06

Principal Component Analysis| When to use PCA| Steps in PCA

0:05:55

ANOVA and it's variants | Introduction, Quick & Easy understanding

0:10:37

Data Science Interview Questions

0:08:42

Outlier Treatment | Quick Guide | Basic EDA

0:07:53

Missing Value Treatment | Quick guide | Basic EDA

0:06:24

What are different types of sampling?

0:11:38

Different tests of mean | Different Hypothesis tests |Which test to use in what conditions

0:12:12

Chi-Square test explained | Easy and quick explanation | Chi-Square test made simple

0:10:38

Hypothesis Testing | What is Hypothesis Testing?

0:08:55

Conditional Probability | Bayes' Theorem | Derivation for Bayes' Theorem

0:11:33

Probability made simple | Quick and easy understanding of Probability | What is Probability

0:14:13

Data Visualization in Python | Quick and easy data visualization | Data Visuals made easy

0:11:28

Basic Python Commands | Part 2 | Quick and easy to learn

0:16:27

Python for Data Science | Basic Commands | Quick and easy Python hands on

0:12:45

What is correlation | Correlation coefficient | Quick and easy understanding of correlation

0:10:46

What is percentile and quartile | Difference between percentage and percentile | Interquartile Range

0:07:38

What are Random Variables | types of Random Variables | Random Variables explained clearly

0:08:49

Population and Sample Difference | Quick understanding of Population and Sample mean

0:06:07

Tips to crack Data Science Interview | How to prepare for Data Science Interview

0:09:10

Skewness made simple | Positive and negative skewed | Data Distribution

0:10:40

Measures of Dispersion | Range, Variance and Standard Deviation | Quick and easy explanation

0:05:23

Career transition guide to Data science | 5 mins | How to transition career to Data Science stream