π Beginner Machine Learning Project: Simple Linear Regression (Diabetes Dataset)
Welcome to STUDYROOM π
In this beginner-friendly project, we explore how to build a Simple Linear Regression model using the built-in Diabetes dataset from Scikit-learn. This is a perfect starting point if you're new to Machine Learning and want hands-on experience with real-world data.
π What youβll learn in this video:
Understanding the Diabetes dataset (features & target)
Selecting a single feature for Simple Linear Regression
Splitting data into training and testing sets
Training the model using Scikit-learn
Visualizing the regression line π
Evaluating model performance using basic metrics
π» Tools & Libraries Used:
Python π
NumPy
Matplotlib
Scikit-learn
π― Why this project?
Simple Linear Regression is one of the most important foundational algorithms in Machine Learning. This project helps you understand how models learn relationships between variables and make predictions.
π By the end of this video, you'll be able to:
Build your first ML model
Understand prediction vs actual values
Visualize how regression works
π₯ Stay tuned as we continue our journey into AI & Machine Learning, step by step!
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