Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

How to Make Out-of-Sample Forecasts with ARIMA in Python

Python based Quant Finance Models, Tools and Algorithmic Decision Making

code for kassandra prediction engine

Repository for source code of Kaggle competition: "House Prices: Advanced Regression Techniques"

This code finds the best algorithm from sklearn to forecast your numeric data

my bachelor's graduation work on forecasting solar proton activity using artificial NNs

A simple pipline for air quality forecasting modeling

ALGORITHM TRADING AND STOCK PREDICTION USING MACHINE LEARNING

Forecasting, Time Series models like ARIMA

Code of Competencies This repository contains codes and notebooks with exploration data of the different platform competitions, such as: Kaggle, Tianchi, etc. In addition, I put more codes with modification in my original codes.

Answers to the questions we've all been wondering.

Generates predictions for a list of cryptocurrencies. Made to be just a framework, performance can be improved with more ML models (LSTM, Reinforcement, SVR..) google-site-verification: google480abb259e214884.html

Machine Learning: Time series prediction and strategies on stock markets

In this repository, I have basically analyzed the S&P 500 stocks data and found various meaningful insights in the data.

The purpose of our project is to propose an uncertainty model for stock price forecasting under non-normality. The data used for this analysis is from the Shanghai and Shenzhen stock exchanges.

Implementation of Forecast Strategies in Forecasting

Enhanced Automatic time series forecasting using ARIMA family models

Introduction to Forecasting