Comments (2)
BTW, awesome-datascience not only a list but also a guide for whom try to learn this topic. We will set webinars and courses soon :)
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Awesome-datascience repo is designed for data science application guide and structured for a data science project creation process. There are 6 different sections to build a data science project. Additionally, Data science life cycle is prepared for whole data science application process according to step by step challenges. If you look at "Apply algorithm to fix problem" part is just for Data mining and machine learning process. All in all, if you want to merge awesome-machine-learning repo with https://github.com/okulbilisim/awesome-datascience/blob/master/DataScience-Life-Cycle.md#apply-algorithm-to-fix-problem section we are open.
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Related Issues (20)
- Alphabetical Sorting HOT 6
- Addition of Evolutionary Algorithms HOT 1
- Codeacademy Data Science
- Imp
- Add TowardsDataScience to Newsletter HOT 1
- Check the Repo of Data Science HOT 3
- 1234
- doc: fix typo mistake
- doc: add data science book
- DS
- Learning 1
- Add d2l.ai book
- dead links and redirect to new place HOT 1
- Academic
- 1
- [EXE] Chat bot using Pytorch
- Adding Python book to list
- Save HOT 1
- Data science
- New book: Julia for data Science HOT 4
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