Lightning ⚡️ fast forecasting with statistical and econometric models.

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

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

Time series forecasting with machine learning models

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: ARIM…

CryptoCurrency prediction using machine learning and deep learning

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。

🍊 📈 Orange add-on for analyzing, visualizing, manipulating, and forecasting time series data.

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

Photovoltaic power prediction based on weather data for my bachelor thesis

PARIMA is a viewport adaptive 360-degree video streaming algorithm that takes into account the prime object trajectories as well as the head movement logs to predict the future viewports accurately

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

Distributed ARIMA Models

End-to-end demand forecasting with Python using synthetic time-series sales data. Includes data generation, cleaning, ARIMA/SARIMA model selection by AIC, evaluation with RMSE and MAPE, and 90-day forecasts with confidence intervals. Reproducible scripts and visualizations for portfolio showcase.

Python library to forecast univariate time series through backtesting model selection

Dataiku DSS plugin to automate time series forecasting with Deep Learning and statistical models 📈

This project uses machine learning models (Linear Regression and LSTM) to analyze and forecast stock market prices. It retrieves stock data from Yahoo Finance, performs exploratory data analysis (EDA), processes and engineers features, and predicts future prices. The project includes model evaluation metrics

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

EDGAR Analytics – Python Library for Extracting, Analyzing, and Forecasting SEC EDGAR Filings. Streamline your financial analysis with comprehensive metrics, growth rates, and automated reporting capabilities.

Use ARIM, GARCH and VAR(Vector Autoregression Model) models to forecast the trend and value of the USD/EUR exchange rate.