Statistics Bi-MultiVariate_ Analysis(Ultralearning_ML_4)

Last week I tried to give you some intuition on Univariate_ Analysis, now this week I am sharing Kaggle notebook on Bi and MultiVariate_ Analysis.

Bi ==> Two variables combination, maybe number-number or number-categories or categories-categories

Multi => More then two, maybe 3 variables

I am trying to answer on the questions like:

1. Why Univariate Analysis is not Enough??
2. Why to get into Bivariate Analysis??

How to work with different combination of variables??

Say : Numerical-Numerical Variables, Numerical-Categorical Variables, Categorical-Categorical Variables

I am also trying to cover concepts like: Covariance, Correlation, Correlation and Causation, Diff Tabular and Graphical Methods, Hypothesis Testing, p-Value, z-test, t-Test, Chi-square Test, Pivot Table and many more

Keep in mind you are the real magic