This repository introduces some basics on time series. It also presents ARIMA models and its variants as well as the Facebook Prophet forecasting model.

Forecasting Exercises done in R

stock value prediction with pyhton

We, the Green-Hawk team, are competing in the NASA Space App Challenge 2021 under the theme "WARNING: THINGS ARE HEATING UP!".  We used time series analysis and forecasting to forecast how our beloved planet's temperature will change over the next 100 years.

Training time-series prediction models to predict future avocado prices using Prophet

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A comprehensive machine learning project using Facebook's Prophet to forecast future sales. The model utilized historical data and effectively accounted for various factors, including seasonality effects, demand fluctuations, holiday impacts, promotional activities, and competitive influences.

Batch Name: MIP-ML-11 (Machine Learning Intern)

A time-series forecasting model in Prophet for projection of business potential data.

In this repository, I’ve built a Python program that predicts temperature trends using real historical data from the Daily Delhi Climate dataset.

Basic machine learning project for predicting stocks

This Project analyses the carbon footprint of the U.S. commercial sector using three machine learning models. A combination of energy consumption data and carbon dioxide emission data was used to achieve the carbon footprint variable.

A python Project that use syfinance, pandas, and webbrowser to display information about Stocks and exporting them to .CSV file. Also predict Stock prices

Prophet Based Weather Forecasting Miniproject

The aim of this repo is to predict forecast for the future of a specific area, where up to 30 years forecast being predicted using Prophet Model.

Air quality index with Prophet - Tutorial

Prophet time series forecasting model was developed by Facebook and is a powerful tool for predicting future events. Here's how to use it to forecast & understand your Data

Predict cash that should be allocated to ATM is crucial. If the ATM is lack of money, customer couldn't get the cash they need then customer satisfaction will decrease. With prophet, model created by Facebook data team, we could conduct time series forecasting to decide amount of money needed.

Este repositório tem como objetivo demonstrar uma análise preditiva com séries temporais utilizando Machine Learning. O dataset utilizado é relacionada a uma estação metereológica localizada na cidade de Jena, Alemanha.