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.

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.

AnalyticProphet - prophet implementation using analytic gradient

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

Air quality index with Prophet - Tutorial

I would like to upload some projects which I work on them for improve my knowledge. I would be glad for anyone to contribute

Time Series Projects