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Table of Contents

1.Background
2.Introduction
3.Brief Introduction to the used libraries
4.Understanding the data
5.Importing the necessary libraries
6.Loading the dataset
7.Meet and Greet the data
8.Pandas Profiling to get the overview of data
9.Handling the missing values
10.Data Visualization
- 10.1 Visualizing the outcome column
- 10.2 Plots to analyze the data
- 10.3 Visualizing the Outliers
- 10.4 Pairplot, Correlation matrix and HeatMap
- 10.5 Analysis of each parameter w.r.t outcome parameter
- 10.6 Analysis of each parameter with each respect to each other
11.Baseline Model
12.Feature Engineering
- 12.1 Handling Outliers
- 12.2 Features Scaling
13.Conclusion