Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm
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Updated
Dec 19, 2017 - JavaScript
Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm
GeneWalk identifies relevant gene functions for a biological context using network representation learning
A project to survey the possibilities of a graph database Neo4j in building decision tree algorithms using stored procedures.
A comprehensive curated list of algorithms🤠 🏆
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
Comparison of the logistic regression, decision tree, and random forest models to predict red wine quality in R.
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 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
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%.
Openwrt 18.06.5 featured with the Exein's security framework
A classifier inspired by electrostatics. Works with weighted datasets.
Music Genre Classification and Recommendation
A java library providing a configurable neural network. Supports supervised learning and genetic algorithm.
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.
Using long short term memory networks to analysis the pollution of Beijing, China.
Using machine learning models to predict if patients have chronic kidney disease based on a few features. The results of the models are also interpreted to make it more understandable to health practitioners.
I have used machine learning algorithm(linear regression) in this project for predicting house price.
Classification of grape varieties in Python using Multinomial Logistic Regression, Decision Trees and Random Forests
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