I Create Stock Price Prediction Machine Learning Model with Python & python projects

I Create Stock Price Prediction Machine Learning Model with Python & python projects

In this Python tutorial, learn how to predict stock prices using Linear Regression! 📈 We'll walk through a step-by-step explanation of the code that fetches stock data from the Alpha Vantage API, trains a Linear Regression model, and evaluates its performance. Watch as we dive into extracting, manipulating, and visualizing stock data to forecast prices for IBM stock.

🔍 What You'll Learn:
- Importing necessary libraries: requests, pandas, scikit-learn
- Retrieving stock data from Alpha Vantage API
- Preprocessing data for modeling
- Training a Linear Regression model to predict stock prices
- Evaluating model performance using Mean Squared Error and R-squared
- Visualizing predicted versus actual stock prices using matplotlib

By the end of this tutorial, you'll understand the fundamentals of using Linear Regression for stock price prediction in Python. Code snippets and explanations provided! 💻📊

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