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Day 38: fast.ai Lesson 3 - Performance, validation and model interpretation revisited I

I watched again slowly the lesson 3 for the first half of the lesson.
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Day 37: fast.ai Lesson 2 - Random forest deep dive revisited

I rewatched the lesson 2 to gain better understanding of random forest.
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Day 36: fast.ai Lesson 1 - Introduction fo random forest revisited

I would like to revisited the lesson 1 since I am little bit lost now.
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Day 35: fast.ai Lesson 7 - RF from scratch and gradient descent II

Today I wtched the other half of the Lesson 7 of Introduction to the machine learning for coders - RF from scratch and gradient descent.
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Day 34: RF from scartch and gradient descent

Today I watched half of the video lesson 7 Introduction to machine learning for coders - RF from scratch and gradient descent.
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Day 33: fast.ai Lesson 6 - Data products abd live coding II

Today, I watched the other half of the lesson 6 Data products And Live coding
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