🚀 Build intelligent systems with AI and data science by exploring ML, multi-agent frameworks, and automation for scalable applications.

🛍️ Analyze Amazon product data to uncover trends with AI insights, interactive visualizations, and reliable extraction from global marketplaces.

🗂️ Streamline data processing with this mini ETL project using SQL, Python, and Pandas for efficient analysis and reporting.

📊 Explore the fundamentals of machine learning through data visualization, classifier training, linear regression, and clustering techniques.

🛍️ Analyze eCommerce data with SQL and Python to uncover insights on customer behavior, sales trends, and product performance for better business decisions.

🌌 Discover and analyze exoplanets with ExoSeeker, a tool designed for efficient world-hunting using Python and data visualization techniques.

📊 Analyze AI usage trends from 2000 to 2025, exploring adoption, investment, research, and job market impacts for informed insights and decisions.

🐳 Document your Docker learning journey with hands-on projects, from building images to mastering container management and Linux fundamentals.

🩺 Predict pancreatic disease status using advanced machine learning techniques with a focus on reproducibility and accuracy in biomarker data analysis.

📈 Simplify multi-step time series forecasting with our interactive Streamlit app, featuring customizable LSTM models and intuitive data handling.

🚗 Predict used car prices accurately with machine learning models using various regression techniques and market data analysis for fair valuation.

📊 Calculate portfolio similarity metrics to enhance ETF alignment and optimize trading strategies in quantitative finance.

🍷 Predict wine quality using machine learning with this Jupyter Notebook, featuring EDA, model training, and insightful visualizations.

📈 Automate your financial portfolio with this Python framework for intelligent trading, risk management, and real-time analysis across multiple asset classes.

📊 Analyze e-commerce reviews to uncover sentiment and drive insights through SQL ETL and Python visualizations for better business decisions.

📊 Streamline retail store data processing and enhance reporting with this efficient ETL pipeline.

📊 Predict customer churn with this ML model, enhancing retention strategies through accurate predictions and effective data analysis.

🛍️ Scrape Amazon's top-selling products effortlessly for real-time data on titles, prices, and ratings to enhance e-commerce insights and market analysis.

🚀 Build a reproducible ML pipeline for stroke prediction using scikit-learn, featuring model evaluation, class imbalance handling, and clear preprocessing steps.