AMiner Prediction API is a toolkit for science data prediction, such as scholar portrait property prediction.

A simple python wrapper over MLJAR API.

Unsupervised ML algorithm for predictive modeling and time-series analysis

My GitHub blog: things you might be interested, and probably not...

Discord bot for coronavirus (COVID-19) , With Ai [Machine learning algorithms] integrated into it

Comparison of automatic machine learning libraries

In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays and oil prices.

Official public repository for the XtalOpt crystallographic evolutionary algorithm

R package for cell type prediction based on SVD and ML approaches

Job prediciton based on NLP models.

Prediction of continuous signals data and Web tracking data using dynamic Bayesian neural network. Compared with other network architectures aswell.

R wrapper for MLJAR API

bitcoin prediction algorithms

Competitive Coding Problem Classifier and Problem Recommendation

Analizador de tráfico para dispositivos Android potencialmente comprometidos como parte de una botnet orientado a detectar ataques DDoS.

Smart Health Predictor with Data Mining using Php, Mysql. Which can predict the disease based on Input Symptoms and Lab Sample.

Prion-Like Amino Acid Composition

Predicts gender, age, label, and zodiac sign of the writer from the given text.

this project aims to be an easy and reusable way to use supervised machine learning techniques

This program predicts the price of GOOG stock for a specific day using the Machine Learning algorithm called Support Vector Regression (SVR) Linear Regression. Importing flask module in the project is mandatory An object of Flask class is our WSGI application.

Time Series based analysis of cryptocurrency prediction using deep learning models

Stock Market Prediction & Trading Bot using AI

Performant, composable online learning

Movie Revenue & Ratings Prediction Using 5000 IMDB Movies [Python, Machine Learning, GitHub]

We are using YouTube videos to analyze and predict tags associated with each video using Machine Learning techniques and find interesting trends by performing sentiment analysis using Natural Language Processing on the top 10 trending videos in YouTube using title, description and comments.

A Julia package for online discrete symbol prediction

Machine Learning engine generates predictions given any dataset using regression

Backpropagation Neural Network for Multivariate Time Series Forecasting (multi input single output: 2 inputs and 1 output)