albertovpd / machine_learning_specialization_washington_university

Taking the course with numpy, pandas and scikit-learn instead of TuriCreate and Graphlab. Totally recommendable.

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Machine Learning Specialization. Washington University

I was curiouos about TuriCreate and Graphlab, with its distributed processing and useful tools. Also, performing the required tasks with pandas, sk-learn and matplotlib/seaborn instead could be a nice chance to reinforce my knowledge with this libraries.

alt https://www.coursera.org/specializations/machine-learning

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  • 1st course: General approach.

https://www.coursera.org/account/accomplishments/verify/KFJGVHZHEKUE

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  • 2nd course: Regression

https://coursera.org/share/a20947e43d4346e3b44fcc947f70fc8f

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Graphlab

It is kind of a pandas with sk-learn and interactive visualizations, all in once.

I must say the ML work is way easier with GrapLab and TuriCreate. It has a lot of pre-built tools that make life way easier... And that's the plan, reinforce knowledge performing all required processed the hard way, with pandas, sklearn and matplotlib.

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Taking the course with numpy, pandas and scikit-learn instead of TuriCreate and Graphlab. Totally recommendable.


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