randomforests

AI-powered Urban Microclimate Digital Twin for hyper-local heatwave prediction, heat risk assessment, and spatial temperature forecasting using Random Forest, GCN, Streamlit, and Open-Meteo data.

Machine Learning Algorithms & Data Manipulation with Python A collection of machine learning algorithms and data manipulation techniques using Python and Scikit-learn. Covers regression, classification, clustering, and neural networks, using real email and NSL-KDD datasets for practical applications.

Boston house prices dataset

Mini Data Science projects using the various Data Science tools and Machine Learning algorithms I learnt - Pandas, Seaborn, Numpy, Linear Regression, K Nearest Neighbour, , Decison Trees and Random Forest

This app is designed to predict whether a customer will churn or not based on several features such as credit score, geography, gender, age, tenure, balance, number of products, credit card ownership, membership status, and estimated salary.

Created a Django app to host an ecommerce website to purchase fertilizers. Also incorporated an additional ML feature to predict crop and fertilizer based on soil conditions. The entire app is to be hosted on AWS cloud