prediction-model

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

FBP项目全称FootBallPrediction，历经9个月完成的足球比赛预测项目。项目结合大数据+机器学习，不断摸索开发了一个程序。程序根据各大公司赔率多维度预测足球比赛结果（包含胜和不胜）。机器学习用的是自己建立的“三木板模型”算法，已在国家期刊发表论文并被万方数据库收录，详见_ML_文件。目前准确率可达80%。该项目在自己创建的微信群里已经吸引了很多人，附件为群讨论截图，并且每天均有部分人根据预测结果参考投注竞彩，参考的人都获得了相应的收益。 现在想通过认识更多的有识之士，一起探索如何将项目做大做强，找到合伙人，实现共赢。希望感兴趣的同仁联系本人，微信号acredjb。公众号AI金胆（或AI-FBP），每天都有程序预测的足球比赛。程序优势请看Advantages和README文件。程序3.0版本：（第三轮目前13中12） 8月10日：13让负（正确） 8月11日：27让负（正确） 8月12日：11让负（正确） 8月13日：6胜（不正确） 8月14日：25让负（正确） 8月15日：无预测 8月16日：1胜（正确） 8月17日：6让负（正确） 8月18日：16胜（正确） 8月19日：34让负（正确） ... 1.0版本（第一轮为11中9） 2.0版本（第二轮13中11）.

Predict movie's IMDB rating

Stock analysis/prediction model using machine learning

Classification of Breast Cancer diagnosis Using Support Vector Machines

Learning Long-term Visual Dynamics with Region Proposal Interaction Networks (ICLR 2021)

Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019)

DEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images

Method for Predicting failures in Equipment using Sensor data. Sensors mounted on devices like IoT devices, Automated manufacturing like Robot arms, Process monitoring and Control equipment etc., collect and transmit data on a continuous basis which is Time stamped.

A library & tools to evaluate predictive language models.

this is my repository for the quick draw prediction model project

Joint Models for Longitudinal and Survival Data using MCMC

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

Hybrid Time Series using LSTM and Kalman Filtering

Big data Regression for predicting DNase I hypersensitivity

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

Predict stock market pricing over 180 minutes using Black-Scholes stocastic modelling and parallel Monte-Carlo simulations.

Comparison of automatic machine learning libraries

Joint Models for Longitudinal & Survival Data under Maximum Likelihood

This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates

Aircraft engine failure prediction model

Extended Joint Models for Longitudinal and Survival Data

A recommender engine built for a Bay Area online dating website to maximize the successful matches by introducing hybrid recommender system and reverse match technique.

Predict housing prices in Portland, Oregon for selling or buying house

What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am sharing the customer lifetime value prediction using BG-NBD, Pareto, NBD & Gamma Model on top of RFM in Python.

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

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.

A Naive model to identify weather in images