578 Open source projects that are alternatives of or similar to Sales-Prediction

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

This Project gives you an overall idea for Forecasting Mutual Funds

R package for online training of regression models using FTRL Proximal

Predict time-series with one line of code.

Modeltime unlocks time series forecast models and machine learning in one framework

An intelligently dumb calculator that uses machine learning

Mathematica implementations of machine learning algorithms used for prediction and personalization.

foot是一个集足球数据采集器,简单分析的项目.AI足球球探为程序全自动处理,全程无人为参与干预足球分析足球预测程序.程序根据各大指数多维度数据,结合作者多年足球分析经验,精雕细琢,集天地之灵气,汲日月之精华,历时七七四十九天,经Bug九九八十一个,编码而成.有兴趣的朋友,可以关注一下公众号AI球探(微信号ai00268).

NeuralProphet - A simple forecasting model based on Neural Networks in PyTorch

Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

Using Kalman Filter to Predict Corona Virus Spread

bitcoin prediction algorithms

ARIMA, SARIMA, SARIMAX and AutoARIMA models for time series analysis and forecasting in the browser and Node.js

A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python

A Python library for integrating model-based and judgmental forecasting

R package for fitting joint models to time-to-event data and multivariate longitudinal data

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）.

Software for verifying weather forecasts

This Python function dm_test implements the Diebold-Mariano Test (1995) to statistically test forecast accuracy equivalence for 2 sets of predictions with modification suggested by Harvey et. al (1997).

Pyspark in Google Colab: A simple machine learning (Linear Regression) model

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

In this repository you can find many different, small, projects which demonstrate regression techniques using python programming language

It is java accounting software basically developed using javafx which has various modules like purchase, sales, receipts, payments, and journals.

COVID-19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools

Stock market forecasting using the ARIMA model.

Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs

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

"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019

Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

Tidy, Type-Safe 'prediction()' Methods

Automated Time Series Forecasting

基于遗传算法的BP网络设计，应用背景为交通流量的预测

Nowcasting

Codes for WWW'18 Paper-DeepMove: Predicting Human Mobility with Attentional Recurrent Network

A practice project for machine learning and stop price prediction

Utilities for glmnet

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

No description or website provided.

Implementing Clustering Algorithms from scratch in MATLAB and Python

Suite of tools for retrieving USGS NWIS observations and evaluating National Water Model (NWM) data.

A Python Package for Density Ratio Estimation

No description or website provided.

python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.

A random forest

.pdf Format Books for Machine and Deep Learning

Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.

sknifedatar is a package that serves primarily as an extension to the modeltime 📦 ecosystem. In addition to some functionalities of spatial data and visualization.

Age and Gender prediction using Keras

Heart Disease prediction using 5 algorithms

PyForecast is a statistical modeling tool used by Reclamation water managers and reservoir operators to train and build predictive models for seasonal inflows and streamflows. PyForecast allows users to make current water-year forecasts using models developed with the program.

Machine Learning Demonstrations: A graphical interface to draw data, apply a diverse array of machine learning tools to it, and directly see the results in a visual and understandable manner.

Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

Template codes and examples for Python machine learning concepts

Machine Learning algorithms coded from scratch

Singular Spectrum Analysis for time series forecasting in Python

No description or website provided.