Basic machine learning project for predicting stocks
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Updated
Jun 3, 2024 - Python
Basic machine learning project for predicting stocks
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)
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 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.
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.
Time Series Forecasting App
Neste repositório é feita uma análise preditiva com séries temporais com o objetivo de prever o consumo de energia elétrica em uma residência nos próximos 365 dias do ano.
Using Machine Learning , we will forecast google search trends for “socks” and identify seasonality patters that can be in the companies best interest. In addition, we will launch our ICO to increase crowdfunding efforts .
Predict future stock prices with this Streamlit web app. Choose a company, set the forecast period, and visualize historical data and forecasted trends. Powered by machine learning with the Prophet library. Try it now!
I would like to upload some projects which I work on them for improve my knowledge. I would be glad for anyone to contribute
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