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๐Ÿ“ˆ๐Ÿ’ผโœˆ๏ธ Welcome to ForecastAIHub! Our repository is dedicated to financial market prediction and flight passenger forecasting. By harnessing powerful AI algorithms, we provide accurate forecasts for market trends and flight demand. ๐Ÿ“Š๐Ÿ’นโœˆ๏ธ Our mission is to empower data-driven decision-making in the realms of finance and aviation.

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artificialintelligence cryptocurrency cryptocurrencyprediction datascience forecasting machinelearning prophet sarimax timeseries-forecasting timeseriesanalysis

forecastai's Introduction

ForecastAI

This repository contains various projects related to prediction with AI.

Projects

CryptoForecast

  • Description: The CryptoForecast project aims to predict the future trends and prices of various cryptocurrencies. By utilizing advanced data analysis techniques and machine learning algorithms, CryptoForecast provides valuable insights and forecasts for investors and traders in the cryptocurrency market.
  • Link: CryptoForecast

TimeSeriesForecast

  • Description: The TimeSeriesForecast project is aimed at utilizing SARIMAX and Prophet libraries for time series forecasting. By leveraging the capabilities of these libraries, the project focuses on accurately predicting the future passenger demand for a specific company. The insights gained from these forecasts aid in resource allocation and planning, empowering the company to make informed decisions for better passenger management.
  • Link: TimeSeriesForecast

Getting Started

To get started with the projects in this repository, you can clone the repository locally by running the following command:

git clone https://github.com/MohamadsalehMoradpoor/ForecastAI.git

Make sure you have Git installed on your system. After cloning the repository, you can navigate to each project's directory and explore the code.

Contribution

Contributions to this repository are welcome. If you would like to contribute, please follow these guidelines:

  • Fork the repository and clone it locally.
  • Create a new branch for your feature or bug fix.
  • Make your changes and commit them with descriptive commit messages.
  • Push your changes to your forked repository.
  • Submit a pull request detailing your changes.

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