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Material for Week 11 of ML boot camp.

Prerequisites - you should be familiar and should at least be able to understand below, if not please refer to previous vidoes and course material.

  • You should be clear on CART and Decision trees.

YOUR CHECKLIST FOR SESSION ON 31th OCT @ 13:30 PM IST

  • Day1: Watch all the Videos below.
  • Day2: Recreate the notebook I discussed in videos. You can find Iris notebook here. Work out Titanic, Pima Indian, Car, Iris, Glass and credit card datasets on all the algorithms you have learnt. Compare the accuracy scores.
  • Day3: PROJECT 1: This would be your first project. Apply everything you have learnt so far. Find details about your project here, the dataset here.
  • Day4: Work on your PROJECT.
  • Day5: SUBMIT PROJECT.

SLIDE DECK ENSEMBLE METHODS



VIDEOS


1.

INTUTION FOR ENSEMBLE METHODS

2.

INTUTION FOR RANDOM FORESTS

3.

INTUITION FOR BAGGING TECHINIQUES

4.

INTUITION FOR BOOSTING TECHNIQUES

5.

HANDS ON EXCERCISE

A lot of effort and time goes into making this material and videos. One of the ways you can help and support me is by sharing your thoughts on twitter, subscibing my channel on youtube, liking the videos.

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