Supervised Learning – Regression (Marketing Analysis Sales Prediction & Automobiles Price Prediction)

Regularisation ,Lasso & Ridge

Learning Outcome

5

Implement Ridge and Lasso in Python (Scikit-Learn)

4

Use Lasso for automatic feature selection

3

Distinguish between Ridge (L2) and Lasso (L1) regression

2

Learn how a penalty term keeps model weights (β) small

1

Understand Regularization and how it prevents overfitting

Topic Name

Hook/Story/Analogy(Slide 4)

Transition from Analogy to Technical Concept(Slide 5)

Core Concepts (Slide 6)

Core Concepts (Slide 7)

Core Concepts (.....Slide N-3)

Summary

5

Build strong branding

4

Use different marketing channels

3

Target the right audience

2

Create and communicate value

1

Understand customer needs

Choose cool, soft colors instead of vibrant colors
Max 5 Points for Summary & Min 2

Quiz

Which platform is mainly used for professional networking and B2B marketing ?

A. Facebook

B. Instagram

C. LinkedIn

D. Snapchat

Quiz-Answer

Which platform is mainly used for professional networking and B2B marketing ?

A. Facebook

B. Instagram

C. LinkedIn

D. Snapchat

Regularisation ,Lasso & Ridge

By Content ITV

Regularisation ,Lasso & Ridge

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