Abhishek Dhakad

A Machine Learning-based Crop Recommendation System that predicts the most suitable crop based on soil nutrients (N, P, K), temperature, humidity, pH, and rainfall. Built using Python, Scikit-learn, FastAPI, HTML, CSS, and JavaScript with a responsive web interface and deployed on Render.

An end-to-end Machine Learning project that predicts student mental health scores through data preprocessing, feature engineering, model development, and performance evaluation.

Machine Learning project for detecting breast tumors using medical data and predictive analytics.

Netflix Movies Data Analysis and Visualization using Python,Numpy, Pandas, Matplotlib, and Seaborn.

Built a Machine Learning solution to predict loan approval based on applicant details and financial attributes.

Machine Learning model for predicting Titanic passenger survival using classification algorithms.