A basic ml project that classifies Iris flower species using the classic Iris dataset with Python, demonstrating data preprocessing, model training, and evaluation with Scikit-learn.
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Updated
Jan 17, 2026 - Jupyter Notebook
A basic ml project that classifies Iris flower species using the classic Iris dataset with Python, demonstrating data preprocessing, model training, and evaluation with Scikit-learn.
Static malware detector using YARA and Machine Learning
End-to-end ML project to predict customer churn with a deployed Streamlit app and actionable retention strategies.
🎓 AI-powered web app that converts PDF notes into smart summaries, study plans & quizzes using LSTM, Scikit-learn & NLTK.
Streamlit app comparing TF-IDF vs encoding strategies for disease classification using KNN, with configurable distance metrics and cross-validated performance metrics.
Machine Learning project to predict online shopper purchase intent
A regression model to predict the housing prices
Machine learning projects for stroke risk prediction using healthcare datasets (kaggle) | Random Forest Algorithm and SMOTE Method (to overcome dataset imbalance)
End-to-end Data Science project on Amazon Sales. Features data cleaning, EDA, outlier detection, and predictive modeling using Python, Pandas, and Scikit-learn.
Movie Recommender System
Hands-on AI/ML learning notebooks and projects.
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