Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm

Openwrt 18.06.5 featured with the Exein's security framework

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

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.

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

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%.

A classifier inspired by electrostatics. Works with weighted datasets.

The program is written in R which analysis patient's health condition using sentiment analysis and classifies as exist, deteriorate and recover using machine learning algorithm - Naive bayes

Extraction of Dominant colour in an Image using Unsupervised Learning technique. K-means clustering algorithms using SciPy is used to find dominant cluster centre in given image.

This is my attempt for the #AndroidDevChallenge

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

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.

Program will layout a Minesweeper game. The Machine Learning Algorithm will attempt to solve it [iteratively]. Then data will be recorded and converted into useful information.

A comprehensive curated list of algorithms🤠 🏆

This source code is a MATLAB implementation of a haze removal algorithm that can deal with the post-dehazing false enlargement of white objects effectively.

python Machine learning

census_data_model using machine learning algorithm as well as deep learning algorithm

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

Comparison of the logistic regression, decision tree, and random forest models to predict red wine quality in R.