The courses are compatible with Jupyter and NbGrader format.
The courses can be taken on Datalayer or any other platforms.
🧑🤝🧑 Collaborative 🧑🦯 Accessible ♾️ Reproducible
🧬 🧪 🔬 📐 🔭 📡 🖌️
The courses are compatible with Jupyter and NbGrader format.
The courses can be taken on Datalayer or any other platforms.
🧑🤝🧑 Collaborative 🧑🦯 Accessible ♾️ Reproducible
🧬 🧪 🔬 📐 🔭 📡 🖌️
Introduction to algorithmic thinking and coding for non-coders
Foundations of Data Science with Python, by John M. Shea, teaches how to begin working with data, create visualizations, conduct statistical tests using resampling, perform analyses and make optimal decisions based on probability theory, and manipulate multi-dimensional data using linear algebra.
I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!
My solutions to Andrew Ng's Machine Learning on Coursera, implemented in python.
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