Welcome to my Machine Learning Hub! This repository is a centralized place for all my ML-related projects, experiments, and resources. Each subdirectory contains a focused project exploring different algorithms, techniques, and applications in machine learning.
ML model built to predict house prices.
ML model built to Classify spam Emails.
ML model built to Diagnose Patients.
ML model built to categorize products.
ML model built to search for similar images.
ML model built to classify Movie Genres.
ML model built to classify Iris Flowers.
ML model built to predict customer leaves.
ML model built to Detect Fraud transactions.
ML model built to Detect Breast Tumors.
ML model built to Classify Sentiment reviews on movies.
- 🧠 Supervised Learning – Regression, classification, model evaluation
- 🔍 Unsupervised Learning – Clustering, dimensionality reduction
- 🎲 Bayesian Methods – Probabilistic modeling, Naive Bayes
- 🏗️ Model Deployment – APIs with FastAPI/Flask, Streamlit dashboards
- 📊 Visualization – Matplotlib, Seaborn, Plotly
- 🧪 Experimentation – Notebooks with exploratory data analysis (EDA)