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Linear Regression: Normal Equations vs SLOPE

Lesson 2 of 816 minLab

This lesson is part of the course

In this lesson

You fit a line through ten weeks of ad spend and new subscribers by hand with the normal equations, and use it to predict next week.

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Lessons in this course

  1. Train/Test Split & Feature ScalingLab14 min Locked
  2. Linear Regression: Normal Equations vs SLOPELab16 min Locked
  3. Gradient Descent by HandLab18 min Locked
  4. Logistic Regression: Sigmoid Scores & Log-LossLab16 min Locked
  5. Confusion Matrix, Precision, Recall & F1Lab17 min Locked
  6. k-Nearest Neighbours: Distances & a k = 3 VoteLab15 min Locked
  7. k-Means Clustering: One Iteration by HandLab18 min Locked
  8. Decision Tree: Gini Impurity & the Best SplitLab17 min Locked