machine-learning-algorithm

Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm

GeneWalk identifies relevant gene functions for a biological context using network representation learning

Openwrt 18.06.5 featured with the Exein's security framework

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. The work was published in MDPI Sensors journal under the title "Single-Image Visibility Restoration: A Machine Learning Approach and Its 4K-Capable Hardware Accelerator".

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

A comprehensive curated list of algorithms🤠 🏆

Final project progress will be posted here.

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

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.

A project to survey the possibilities of a graph database Neo4j in building a machine learning algorithm on clinical data

This is my attempt for the #AndroidDevChallenge

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

I have used machine learning algorithm(linear regression) in this project for predicting house price.

Welcome to Guilherme Yuji Fernandes' Portfolio. Here you will find data science projects with problems that many companies are trying to solve nowadays. The solutions given to them were obtained through data.

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

A classifier inspired by electrostatics. Works with weighted datasets.

A java library providing a configurable neural network. Supports supervised learning and genetic algorithm.

Classification of grape varieties in Python using Multinomial Logistic Regression, Decision Trees and Random Forests

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

Application of machine learning in Python | Coursera

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

Classification based machine learning algorithm to classify the strength of passwords within predefined categories.

Files for Feature Engg, Feature Scaling, Feature Selection, Statistics and Implementation of every Machine Learning Algorithm.

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

Classifying potential culprits of corporate fraud.

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.

python Machine learning