Machine-Learning-Summer-Training-Hackathon

This is a repository to Machine Learning Summer Training Hackathon 2022 from Analytics Vidhya

The data from Machine Learning Summer Training Hackathon. Steps of my solution:

1. Univariate analisys of features. Check for normal distribution and outliers
2. Bivariate analisys of features. Check for correlation between features and target variables
3. Check for Correlation matrix
4. Feature Imputing for 'education'
5. One hot encoding for 'proof_submitted'
6. Label Encoding for 'education'
7. Modelling. Models: Logistic Regression, Desicion Tree Classifier, Random Forest Classifier, Bagging Classifier, XGBOOST. My final model is Random Forest Classifier Final macro f1_score=0.524564 for test pd.