This project analyzes and predicts credit scores based on customer financial data using machine learning. It includes data cleaning, preprocessing, feature encoding, and model training with Logistic Regression and other classifiers to evaluate prediction accuracy.

This bi dashboard will help the AtliQ technologies to analyse the sales of their electronic devices in different countries and make insightful decision to grow their revenue and recognize the area where the performance is not up-to-the-mark.