Lightning ⚡️ fast forecasting with statistical and econometric models.
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Updated
Jul 17, 2024 - Python
Lightning ⚡️ fast forecasting with statistical and econometric models.
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
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…
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
🍊 📈 Orange add-on for analyzing, visualizing, manipulating, and forecasting time series data.
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。
CryptoCurrency prediction using machine learning and deep learning
Distributed ARIMA Models
An easy-to-use Hi-C data processing software supporting distributed computation.
Machine learning, database, and quant tools for forex trading.
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
Dataiku DSS plugin to automate time series forecasting with Deep Learning and statistical models 📈
Detects PM2.5 levels based on daily atmospheric conditions
Evaluations and experiments with time series models
Python scripts for time series forecasting using ARIMA and LSTM recurrent neural networks
Photovoltaic power prediction based on weather data for my bachelor thesis
Time series forecasting models for web traffic forecasting
Heterogeneous clustering and cross-modal evaluation metrics for crime prediction
Here we are basically doing Time Series Forecasting of May month by using ARIMA Model.
Sentiment Analysis for Stock Prediction
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