Explore honey production dynamics (1998-2012) in the U.S. amid declining bee populations using Python's seaborn and matplotlib. Visualize key attributes like colonies, yield, production, price, and stocks to draw insights into the impact on American honey agriculture.

HBFC Bank's project analyzes 5000 customer records, aiming to convert depositors into personal loan customers. Advanced skills in statistical analysis and tools like Excel uncover key insights, including a 9.6% personal loan uptake. Diverse demographics and strategic findings inform recommendations for future marketing campaigns.

HomeScope is an end-to-end data science project that predicts California's median house prices using a Random Forest Regressor. It offers detailed data preprocessing, a user-friendly Streamlit interface, and full deployment guidance, serving as a comprehensive tool for real estate market analysis.

SuccessSage is an end-to-end ML project that predicts student exam performance using demographic and academic data, offering educators actionable insights to enhance educational outcomes through a comprehensive web interface.