cleaning data ,EDA and feature engineering

Machine Learning Project: Data Analysis and Predictive Modeling

This project showcases my expertise in data preprocessing, exploratory data analysis (EDA), and predictive modeling using Python. The workflow includes:

Data Cleaning: Managing missing values, removing unnecessary features, and handling negative/invalid data

Exploratory Data Analysis (EDA): Generating insightful visualizations to understand data distributions, correlations, and trends

Feature Engineering: Identifying key features using statistical methods and domain knowledge to improve model performance

Model Development: Implementing and evaluating a regression model to predict key business outcomes