Tutorials

There are two datasets for analyses:

• Advertising.csv
• Credit.csv

There are 6 .ipynb notebooks:

• Linear_Regression.ipynb: Implements Linear regression on Advertising data and generates ANOVA table for the same with the help of OLS(Ordinary Least Square) method.
• Multiple_Linear_Regression.ipynb: Implements Multiple Linear regression on Advertising data with the help of scikit-learn.
• PCA_Sklearn.ipynb: Implements Principal Component Analysis with scikit-learn.
• Pandas_Tutorial.ipynb: Contains some basic exercises on the use of pandas.
• Pandas_Tutorial2.ipynb: Contains some more exercises on the use of pandas.
• Principal_Component_Analysis.ipynb: Implements Principal Component Analysis from scratch.
• Testing_tutorial.ipynb: Implements some hypothesis testing exercises like Chisquare, t-test, ANOVA(One way and two way).

In some files, there are some additional exercises as well like visualization etc.