A collection of end-to-end Machine Learning projects demonstrating data preprocessing, exploratory data analysis, feature engineering, model training, evaluation, visualization, and deployment using Python and Scikit-Learn.
End-to-end machine learning solutions built during the CodSoft Data Science Internship program.
Binary Classification project predicting passenger survival.
Regression project predicting IMDb movie ratings.
Fraud Detection system using highly imbalanced financial transactions.
Core technologies and libraries used across all internship projects.
The progression of tasks completed during the internship.
All project source code, notebooks, and documentation in one place.