This project aims to build a classification model for predicting whether a loan would be approved or not.
- Feature Engineering and Importance Analysis using
- K-Best features
- Extremely Randomized Trees Classifier
- Mutual information
- Build classifier model using
- C-Support Vector Classification.
- K nearest neighbour
- Max-Ent classifier
- Evaluate accuracy of model using cross validation.
- Data cleaning and visualization
- Label encoding
- Sklearn
- Pandas
- Seaborn
- Matplotlib