A machine learning model trainer and API to estimate the automotive vehicle repair cost based on the service description and vehicle information.

Home battery prediction and charging automation for Home Assistant, supporting many inverter types

Extended Joint Models for Longitudinal and Survival Data

A prices estimator comprising of various items using machine learning

This repository contains all the assignments and related files for excelR data science and machine learning course.

This project revolves around the analysis and prediction of customer churn using a dataset sourced from Kaggle. The dataset underwent thorough cleaning in Python to address missing values, invalid data types, and normalization tasks. The analysis was subsequently visualized using Power BI. Lastly, a Random Forest model was employed for prediction,

A half-serious attempt to predict the outcome of the US 2024 presidential elections.

Predict tournament results for Street Figther 6

This repository contains two implementations of a K-Nearest Neighbors (KNN) classifier for predicting online shopping behavior. The classifiers are implemented in Python and use different approaches for finding the nearest neighbors: Naive Implementation, KDTree Implementation

Web application that utilizes a linear prediction model to analyze the USA Houses Price dataset. The trained model can predict the price of a house based on criteria such as location, number of bedrooms, number of bathrooms, and lot size.

🌈📊📈 The Zillow Home Value Prediction project employs linear regression models on Kaggle datasets to forecast house prices. 📉💰Using Apache Spark (PySpark) within a Docker setup enables efficient data preprocessing, exploration, analysis, visualization, and model building with distributed computing for parallel computation.

The aim of this project is to develop a machine learning model to predict the levels of CO in the air using historical datasets containing atmospheric variables. The project makes use of variables selection, decision trees, and cross-validation techniques to ensure robustness and model accuracy.

A Nodejs server that enables you train, publish and predict a custom vision model that can recognize landmarks on Azure

IoT and ML to assuage the uncertainty in city bus schedules. Track live running status and avail tentative schedule of buses. Minimal IoT setup with a central ML-driven web-backend.

Person's body parts or joint position detection using openCV

This repo contains various Regression Models

Predictive Modeling for Disease Diagnosis

This repository contains the source code for the Cab Fare Prediction Web Application. The application utilizes machine learning algorithms to predict cab fares based on various factors such as pickup location, drop location, time, date, no. of passengers etc.

Mental Health Prediction App Using Flask. The Flask App is deployed on pythonanywhere.com