#Programming #Python #ai #bitcoin #priceprediction #machinelearning #linearregressor
Description:
In today’s video, we’re building a real machine‑learning model that predicts the future price of Bitcoin using Python.
We’ll load real BTC data, train a Random Forest Regressor, evaluate its accuracy, and then generate a future forecast all inside a simple, easy‑to-follow script. I’ll walk you through a clean, beginner‑friendly workflow
that shows the core ideas behind how data scientists approach crypto prediction.
This video teaches you how to build a Bitcoin price prediction model using Python and machine learning. By watching, you’ll learn:
1. How to load and prepare real Bitcoin price data
2. How to create a future‑prediction column (150 days ahead)
3. How to split data into training and testing sets
4. How to train a Random Forest machine‑learning model
5. What MSE and R² mean and how to read them
6. How to generate future Bitcoin price predictions
7. How to plot historical vs. predicted prices in a clean chart
8. How to tweak the model and experiment with different settings
Disclaimer: The material in this video is purely for educational purposes and should not be taken as professional investment advice. Invest at your own discretion.
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2026/03/01
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