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.
Бинарная классификация кредитного риска с помощью Scikit-learn (случайный лес, ROC-AUC 0,936)
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.
Multiclass weather classification using KNN, Logistic Regression, Decision Tree, and a hard-voting ensemble.
Machine Learning based Loan Eligibility Prediction System using Gradient Boosting and Flask
End-to-end customer churn prediction project with scikit-learn, FastAPI, Docker, automated testing and GitHub Actions CI.
Machine learning projects for stroke risk prediction using healthcare datasets (kaggle) | Random Forest Algorithm and SMOTE Method (to overcome dataset imbalance)
NLP-based phishing/spam email classifier using real-world email corpora (CEAS, Nazario, Enron, SpamAssassin)
AI-powered email intelligence platform using React, Flask, and NLP for classification, summarization, entity extraction, and analytics.
Machine Learning project to predict online shopper purchase intent
Static malware detector using YARA and Machine Learning
A regression model to predict the housing prices
Streamlit app comparing TF-IDF vs encoding strategies for disease classification using KNN, with configurable distance metrics and cross-validated performance metrics.
NBA shot probability modeling using Python and machine learning, with model comparison, calibration, validation, and feature importance analysis.
FlipInsight is an end-to-end Python product analytics platform that cleans Flipkart CSVs, loads data into SQLite/Postgres, trains ML models (price regressor, category classifier, embedding recommender), and serves analytics and inference via FastAPI with a Chart.js dashboard. Pretrained models included; run via pip, ETL, DB init, and uvicorn.
End-to-end Python analysis of global vaccination equity, health spending and reported mortality using OWID and World Bank data.
End-to-end Zepto Data & AI Platform with web scraping, SQL/Pandas analytics, ML modeling, and an offline RAG support assistant using LangGraph and FastAPI.
AI-powered cryptocurrency price prediction web app built with Streamlit, machine learning, and Plotly.
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