Python , Pandas, Scikit Machine learning Research and Development Intent here is to generate snippets of code and how to's.
Topic | Links |
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Dictionaries | http://introtopython.org/dictionaries.html#Lists-in-a-dictionary |
Modules and Packages | http://chimera.labs.oreilly.com/books/1230000000393/ch10.html |
Coding Styles | https://www.python.org/dev/peps/pep-0008/ |
Continuous Education | |
Classes | Google Python Classes |
Topic | Links |
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Snippets | |
People / Blogs to follow | |
Misc | |
Books |
Topic | Links |
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Matplotlib | |
Boekh | |
Ploty |
###Education Google Class : Learn Tensor Flow and Deep learning without a PHD
- https://mapr.com/blog/demystifying-ai-ml-dl/
- [http://www.deeplearningbook.org/]( Free Deep Learning Book)
- [Space, Time and Groceries Python Visualization](https://tech.instacart.com/space-time-and-groceries-a315925acf3a?imm_mid=0f40b1&gi=ff1354ba248c)
- [Python 100 AlgorithmsJupyter Notebook](https://github.com/coells/100days)
- [architecture-of-giants-data-stacks-at-facebook-netflix-airbnb-and-pinterest](https://blog.keen.io/architecture-of-giants-data-stacks-at-facebook-netflix-airbnb-and-pinterest-9b7cd881af54?imm_mid=0f1550)
- https://www.datasciencecentral.com/profiles/blogs/neural-networks-for-machine-learning
- https://hbr.org/2017/01/what-the-companies-on-the-right-side-of-the-digital-business-divide-have-in-common
- https://homes.cs.washington.edu/~pedrod/papers/cacm12.pdf
- https://github.com/vinta/awesome-python#data-analysis
- https://github.com/CS480EmployeeScheduling/Employee-Scheduler
Reference : Markdown Cheat Sheet