Summary

Work realised by : Youssef Adarrab. Based on the virtual program available on theforage.com platform, "Data Science & Advanced Analytics Virtual Experience Program"

1- Data Cleaning

1.1 Missing values

1.2 Duplicates

1.3 Data types conversions

2- Exploratory Data Analysis

2.1 Variable identification

2.2 Statistical summary

2.3 Graphical Univariate Analysis and Outliers

2.4 Bivariate Analysis

2.6 Correlation analysis

3- Feature Engineering

3.1 Creating new features

3.2 Target encoding

3.3 PCA for Dimensionality Reduction

4- Machine learning models

4.1 Split dataset

4.2 KNN model

4.3 Logistic Regression model

4.4 Decision Trees model

4.5 Naive Bayes model

4.6 SVMs model

4.7 Comparison between models

Conclusion