A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

bambooBSC is an opensource Balanced Scorecard (BSC) Business Intelligence (BI) Web platform. BSC's Vision, Perspectives, Objectives of strategy, Key Performance Indicators (KPIs), Strategy Map, and SWOT, PDCA & PDCA report, Time Series Analysis.

Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.

A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter

Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models

Sky Cast: A Comparison of Modern Techniques for Forecasting Time Series

Simple python example on how to use ARIMA models to analyze and predict time series.

Timeseries for everyone

The sample question for Interview a job in Binary options

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and ML Models on Time Series data sets with a Single Line of Code

A easy-to-use Hi-C data processing software supporting distributed computation.

基于ARIMA时间序列的销量预测模型，实际预测准确率达90%以上，内含有测试记录和实际上线效果。

Jupyter Notebooks Collection for Learning Time Series Models

bitcoin prediction algorithms

Machine Learning Projects

CentOS based Docker container for Time Series Analysis and Modeling.

CryptoCurrency prediction using Deep Recurrent Neural Networks

Compendio de conocimiento sobre series temporales, para la predicción de series temporales con todos los métodos tratados en nuestro laboratorio DICITS.

Statistical Analysis and predicting future TeleCommunication Data by SVR, ARIMA, LSTM, Conv_LSTM

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

I have used Time Series Analysis to predict the behavior and pattern of Passengers at a bus stop, Data Visualizations include Time-Series Plots.

Simulate stochastic timeseries that follow ARFIMA, ARMA, ARIMA, AR, etc. processes

ZS Young Data Scientist Challenge 2018

Time Series Data Analysis, Visualization and Forecasting with Python for Health and Self

Python scripts for time series forecasting using ARIMA and LSTM recurrent neural networks

Machine learning, database, and quant tools for forex trading.