Price prediction with machine learning involves using algorithms and statistical models to forecast the future prices of various assets, products, or financial instruments.
This can be applied to a wide range of fields, including stock markets, real estate, cryptocurrencies, commodities, and more.
I explained how to analyze historical data and predict price movement with machine learning for Bitcoin proce.
Then I demonstrated how to implement price prediction models in Python.
The historical Bitcoin price data can be downloaded from
https://www.kaggle.com/datasets/prasoonkottarathil/btcinusd
You are welcome to provide your comments and subscribe to my YouTube channel.
The Python code is uploaded into https://github.com/AIMLModeling/BitcoinPrice
