There are two datasets for analyses:
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.