Predicted the imbd rating of the movie using machine learning algorithm and Neural Network

All-in-1 notebook which applies different clustering (K-means, hierarchical, fuzzy, optics) and classification (AdaBoost, RandomForest, XGBoost, Custom) techniques for the best model.

Trying to predict survival rate of passengers using algorithms like Logistic Regression, Ada Boost, Gradient Boost , Decision Tree Classifiers , Extra Tree Classifiers , Random Forest Classifiers and XG Boost with appropriate data preprocessing techniques.

Capstone project for Udacity's Machine Learning Engineer Nanodegree and a submission to Kaggle's Allstate Severity Claims competition.

The task focuses on predicting and forecasting monthly and daily charges for a healthcare provider to submit to insurance companies. This ensures accurate billing and streamlines operations. Leveraging analytics and historical data enables precise charge projections aligned with insurance policies.

Using Exploratory Data Analysis(EDA) and building different Machine Learning Models(Logistic Regression, Decision Tree, Random Forest and XGBoost) We'll help Salifort Motors to predict employee turnover rate and retain their talents.

Prediction of survival using sklearn XGBoost

Some machine learning techniques to predict user's bank credit score based on their profile and loan history

Predicting Salary for US Census Salary Data

Machine Learning Projects

West Nile Virus prediction and cost benefit analysis

The task involves predicting and forecasting monthly and daily payments for a healthcare provider based on charges submitted to insurance. This ensures accurate financial planning, streamlines payment tracking, and minimizes discrepancies.

This repository contains PySpark code that implements three machine learning models for predicting diabetes readmission: Decision Forest, Random Forest, and Gradient Boosted models. These models are trained and evaluated using patient information.

Machine learning project done during Monsoon Semester 2023 in IIITD.