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100 Days Of ML Code: Week 11

Challenge : #100DaysOfMLCode

Days 070 To 076

  • Day 070 (01-Oct-2018)

Today’s Progress : Continue : Feature Selection from Intro to Machine Learning course, Udacity.

Thoughts : Studied lasso and regid regression, Read the documentation and examples mentioned on scikit learn.

  • Day 071 (02-Oct-2018)

Today’s Progress : Completed: Feature Selection from Intro to Machine Learning course, Udacity.

Thoughts : Completed mini project and solved problems.

  • Day 072 (03-Oct-2018)

Today’s Progress : Begin : Lesson 17, PCA from Intro to Machine Learning course, Udacity.

Thoughts : Studied how to identify data dimention, Data transformations , how to determine principal axis for new coordinates etc.

  • Day 073 (04-Oct-2018)

Today’s Progress : Continue : PCA from Intro to Machine Learning course, Udacity.

Thoughts : Solved quizzes on PCA related concepts.

  • Day 074 (05-Oct-2018)

Today’s Progress : Continue : PCA from Intro to Machine Learning course, Udacity.

Thoughts : Read the documentation and examples mentioned on scikit learn.

  • Day 075 (06-Oct-2018)

Today’s Progress : Continue : PCA from Intro to Machine Learning course, Udacity.

Thoughts : Studied latent and measurable feature, composite feature , maximal feature and itd advantages.

  • Day 076 (07-Oct-2018)

Today’s Progress : Completed: PCA from Intro to Machine Learning course, Udacity.

Thoughts : Completed mini project and solved problems.

Stay Curious & Keep Learning 🙂

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