python Machine learning

Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm

A classifier inspired by electrostatics. Works with weighted datasets.

census_data_model using machine learning algorithm as well as deep learning algorithm

A comprehensive curated list of algorithms🤠 🏆

This is my attempt for the #AndroidDevChallenge

Linear Regression is a machine learning algorithm based on supervised learning. It performs a regression task.

Implementation of a machine learning algorithm(AGB) based on the research paper.

Openwrt 18.06.5 featured with the Exein's security framework

This project aims to reduce the time delay caused due to the unnecessary back and forth shuttling between the hospital and the pathology lab. Here a machine learning algorithm will be trained to predict a liver disease in patients using a data-set collected from North East of Andhra Pradesh, India.

The data-set is related with direct marketing campaigns (were based on phone calls) of a banking institution. Often, more than one contact to the same client was required, in order to access if the product (bank term deposit) would be ('yes') or not ('no') subscribed. The goal is to predict if the client will subscribe a term deposit

Final project progress will be posted here.

A simple Machine Learning algorithm that calculates the price of houses based on weighted attributes and a large training dataset.

This repository contains model files that can be used to predict stock and insurance churns using machine learning algorithms.

A machine learning algorithm based on Gaussian processes for MODIS multilayer cloud and thermodynamic phase classification using CALIOP and CloudSat

The hyperparameters of XGBoost was found using the DE algorithm. The fraud detection challenge was used for this project. The model accuracy on test data was found 89%.

Using long short term memory networks to analysis the pollution of Beijing, China.

The main repository for the project "Analysis of the load structure of the consumer".