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learning.ml πŸ¦„ @Learning_ML

Learning ML ~ a practical guide to understanding and applying machine learning algorithms in the quest to become a πŸ¦„ by @blairhudson

Joined December 2016
  • Tweets 17
  • Following 1
  • Followers 2
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learning.ml πŸ¦„@Learning_ML
14 Mar 2017
πŸ¦„βœŒοΈ x.com/blairhudson/status/841…

Blair Hudson@blairhudson
14 Mar 2017
Guess what Twitter! I'm writing about #machinelearning for all the data peeps like me who want to intuitively understand the "black box"! πŸ™πŸΌ
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learning.ml update πŸ‘‰ Google Analytics theoretically works now!
learning.ml update πŸ‘‰ Decision tree code examples complete!
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learning.ml update πŸ‘‰ K-fold CV and Decision Tree implementation!
learning.ml update πŸ‘‰ Decision Trees: forming a tree and overfitting added!
learning.ml update πŸ‘‰ Chapter 2.04: Introduction to Decision Trees!
learning.ml πŸ¦„ retweeted
Mrigank@minkuts
14 Mar 2017
Replying to @blairhudson
I must say, making it in Notebook format is super cool and should be of help.
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learning.ml πŸ¦„ retweeted
Mrigank@minkuts
14 Mar 2017
Replying to @blairhudson
perfect combination of theory and program examples at same place. Easily one of the best things I have seen
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learning.ml update πŸ‘‰ XKCD-ified diagrams! And an example and distance formulae for KNN
learning.ml update πŸ‘‰ Turns out Jupyter supports mathematical notation! Updated all equatio…
learning.ml update πŸ‘‰ Chapter 2.03 k-Nearest Neighbours! (and fixed a code issue where TPR …
learning.ml update πŸ‘‰ Code implementations for 2.02 Naive Bayes, more contents planning, re…
learning.ml update πŸ‘‰ 2.02 naive bayes text done, needs implementation code examples
learning.ml update πŸ‘‰ 2.02 Bayes proof, example and multiple input example
learning.ml update πŸ‘‰ Renamed 2.01 to Dummy Classifiers, updated terminology to focus on FP…
learning.ml update πŸ‘‰ Chapter 2.01 - Stratified dummy classifier, probabilities, AUC and co…
learning.ml update πŸ‘‰ Chapter 2.01: section on using Mode as a dummy classifier, the proble…
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