Student performance analysis and prediction using Python, Pandas, and scikit-learn.
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Updated
Mar 10, 2026 - Jupyter Notebook
Student performance analysis and prediction using Python, Pandas, and scikit-learn.
Streamlit-based IMDb movie review sentiment analysis app using TF-IDF and ML models (Logistic Regression, Naive Bayes, Decision Tree, Random Forest) to predict positive/negative sentiment in real time
Machine Learning project predicting used car prices using Linear and Lasso Regression with Python (pandas, scikit-learn, seaborn, matplotlib).
This project develops a real-time credit card fraud detection system using the Kaggle Credit Card Fraud Detection Dataset, containing 284,807 transactions with 31 features (Time, Amount, V1-V28, Class).
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