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。
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Updated
Jun 11, 2024
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。
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
Classification of Breast Cancer diagnosis Using Support Vector Machines
Predict movie's IMDB rating
Stock analysis/prediction model using machine learning
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.
Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019)
[TNNLS] Differentiable Integrated Prediction and Planning Framework for Urban Autonomous Driving
Home battery prediction and charging automation for Home Assistant, supporting many inverter types
DEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images
In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays and oil prices.
GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale
This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates
Using Machine Learning algorithms to predict the chances of Flood in the state of Kerala.
FES is the last version of the FES (Finite Element Solution) tide model.
Python implementation of various soccer/football analytics methods such as Poisson goals prediction, Shin method, machine learning prediction... This is a companion python module for octosport medium blog.
learningOrchestra is a distributed Machine Learning integration tool that facilitates and streamlines iterative processes in a Data Science project.
Business Case Study to predict customer churn rate based on Artificial Neural Network (ANN), with TensorFlow and Keras in Python. This is a customer churn analysis that contains training, testing, and evaluation of an ANN model. (Includes: Case Study Paper, Code)
Joint Models for Longitudinal and Survival Data using MCMC
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