The most conservative proxy server you'll ever come across.

A 10-year Coronary Heart disease predictor developed for people among various age groups from an appropriate dataset based on several parameters using HTML, CSS and Django and used Logistic Regression Model for prediction.

This repository is dedicated to Spam Classifiers like E-Mail Spam Classifier, Message Classifiers etc. This Spam Classifier can correctly classify 4 out of 5 top Spam messages listed in AdaptiveMobile Security site. https://www.adaptivemobile.com/newsroom/press-release/five-top-spam-texts-for-2012-revealed-in-adaptivemobiles-ongoing-threat-ana

Horse Colic with Naivy Bayes (Pickle Method) Machine Learning based on Flask Web

AI-Powered Customer Churn Prediction is a Flask-based web application that leverages machine learning to help businesses predict whether a customer is likely to leave (churn). Built with a clean and responsive UI using Bootstrap, this tool allows users to input key customer details — such as tenure, monthly charges, contract type.

Machine Learning Recommendation System

A Gender Classification App with Prediction Score and Eigenvalue Face Analysis Using Open CV

Deploy a machine-learning web app that makes predictions based on data using Python and Flask.

Using machine learning, our system recommends the best crop based on soil and environmental factors (🌱 nitrogen, 🌾 phosphorus, 🥔 potassium, 🌡️ temperature, 💧 humidity, 🧪 pH, ☔ rainfall). Easy, user-friendly interface.

Implementation of Attribute based Access Control for MongoDB NoSQL Database

The following repo contains scripts detecting flairs from reddit posts with real time hosted flask server.

To use dataset provided in https://worldhappiness.report for years 2008-2020 to create a machine learning algorithm that can predict one's happiness score based on the criterias given in the report. Furthermore, a website is created to showcase the machine learning algorithm and various plots.

An AI-Powered Flask Webapp, Designed to Detect Fake Article

This project is based on predicting miles per gallon of cars from 70s based on features provided in the dataset. The regression is implemented using ANN with 2 hidden layers.

Generating Locational data by web-scraping using the traditional 'Store Finder' or 'Locate my Store' functionality provided on websites.

Breast cancer detection using machine learning with deployment of model

In this repo I have developed a IPL First Innings Score Prediction project in machine learning. And deployed on Heroku app.

Udacity x Bertelsmann Scholarship - Introduction to Machine Learning with TensorFlow