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Showing posts from February, 2018

Track GitHub trending repositories in your favorite programming language

This one is definitely something every person who codes should do

Track GitHub trending repositories in your favorite programming language by native GitHub notifications!


vitalets/github-trending-reposgithub-trending-repos - Track GitHub trending repositories in your favorite programming language by native GitHub notifications!

Algorithms and their Accuracies

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Here is an interesting illustration that might help you to choose your ML algorithm. 

Source: scikit-learn.org

Top-down learning path: Machine Learning for Software Engineers

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The best ML learning path that helped me:

Each subject does not require a whole day to be able to understand it fully, and you can do multiple of these in a day. Each day I take one subject from the list below, read it cover to cover, take notes, do the exercises and write an implementation in Python or R.
Table of ContentsWhat is it?Why use it?How to use itDon't feel you aren't smart enoughMachine learning overviewMachine learning masteryMachine learning is funInky Machine LearningMachine Learning: An In-Depth GuideStories and experiences Machine LearningAlgorithmsBeginner BooksPractical BooksKaggle knowledge competitions <

Machine Learning Framework Comparison

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Cheatsheet Python - That's one small step for learning, giant leap for Machine Learning"