scikit-learn-

Car Price Prediction using Machine Learning, Python, Pandas, Scikit-learn, and Data Visualization.

Student performance analysis and prediction using Python, Pandas, and scikit-learn.

Machine Learning project predicting used car prices using Linear and Lasso Regression with Python (pandas, scikit-learn, seaborn, matplotlib).

Comparison of KNN, Random Forest, and SVM models for heart disease prediction, including full preprocessing, evaluation metrics, and a written report

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

Naive Bayes (GaussianNB) classification on Iris dataset using scikit-learn

Spend classification on 341K California purchase orders, where the model reports 97.6% confidence on lines it gets right 89.5% of the time. Temperature scaling closes that gap and turns confidence into a deployable automation threshold.

ML-powered stock price prediction combining a GRU deep learning model with an interactive Streamlit dashboard and a Flask REST API for programmatic access.

📰 End-to-end NLP pipeline for news intelligence — fine-tuned RoBERTa multilabel classifier, spaCy NER, T5/BART entity-aware summarization & 5-signal misinformation risk scoring. Served via Streamlit. 🧠📊🚀

Production-ready AI Credit Underwriting Platform built with FastAPI, Streamlit, Scikit-learn, SHAP, FAISS, Groq LLM, and Docker.

A growing collection of hands-on ML/DS labs — regression, classification, clustering, time series & EDA — built with scikit-learn, pandas & statsmodels while learning the field.

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).

A simple Logistic Regression model for diabetes prediction using pandas and scikit-learn.