Projects

Credit Scoring Classification

January 2023 - April 2033

Credit scoring with machine learning involves using advanced algorithms to analyze large amounts of data and identify patterns that are predictive of creditworthiness. These techniques establish connections between the characteristics of a customer and their credit history by analyzing large samples of data.

Using Python as a tool, I employed machine learning to develop a credit scoring model. I chose supervised learning to train the model, specifically using classification techniques.
The algorithms I utilized were the Random Forest Classifier and Logistic Regression.

Health Insurance Premium Prediction

July 2022 - August 2022

I have collected a dataset from Kaggle. After gathering that it was a little bit noise data so that I went to data preprocessing. After cleaning the data, I selected Machine Learning model for method of prediction.

Basically health insurance covering all ranges and having a variety of health concerns and condition.
The casual relationship between health insurance and health is likely to run in both directions, health status may affect insurance coverage and insurance may affect health.
Using Python as the tool to input features are used to train the different Machine Learning models to predict the dependent variable using Decision Tree Regressor.