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Data Science Academy · Lesson

Linear Regression Revisited

Coefficients, intercept, and fit.

A Line Through the Data

Linear regression fits a straight line that best predicts a number from your features. It is the simplest place to start any prediction. 📈

The Equation Underneath

Every prediction comes from one formula: each feature gets a weight, and they add up. That weighted sum is the line the model draws through your data.

y = w1*x1 + w2*x2 + b

All lessons in this course

  1. Linear Regression Revisited
  2. Ridge and Lasso Regularization
  3. Decision Tree Regression
  4. Random Forest for Regression
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