Data Analysis
This project aims to perform a comprehensive analysis of Airbnb data to gain insights into the rental market and understand factors that influence pricing and availability in different neighborhoods and room types.
Regression
Classification
- Bank Customer Churn Prediction
This project aims to predict customer churn for a bank using machine learning algorithms. The dataset contains information about bank customers such as their age, gender, balance, credit score, etc. The goal is to build a model that can predict whether a
customer will leave the bank or not based on this information.