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

2022-01 데이터마이닝이론및응용 프로젝트 <장애인 이동권 제고를 위한 콜택시 이용편의 증진 방안 : 서울특별시를 중심으로>

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)

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

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.

Time Series Forecasting App

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.

This repository demonstrates time series forecasting using Facebook's Prophet model, providing tools for trend analysis, seasonality modeling, and holiday effects in data.