Data analysis and Machine learning project to predict whether the CPL applications will be approved by the bank or not.
Prediction of Approval of Consumer Personal Loans Applications using different Machine Learning Algorithms. Understand the Test and Train Data. Implement steps like Feature Engineering, Feature Selection, EDA, Model Training etc. Use the libraries like numpy, pandas, matplotlib and seaborn etc. Usage of different models to train the data like below : Logistic Regression. Support Vector Classifier. K-nearest Neighbor. Decision Tree. Random Forest. XGB. Compare the accuracy from different models. Predict the Final result of the test data using the model having highest accuracy.