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Merge pull request #2 from nirmalya8/patch-1

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Added resources for Python, Deep Learning and others
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Patrick Loeber (Python Engineer) 2021-09-20 16:13:11 +02:00 committed by GitHub
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@ -26,7 +26,7 @@ Watch the video on YouTube for instructions:
- [ ] Statistics
- [ ] [Khan Academy - Statistics Probability](https://www.khanacademy.org/math/statistics-probability)
- [ ] Python
- [ ] [Python Full Course 4 Hours - FreeCodeCamp on YouTube](https://www.youtube.com/watch?v=rfscVS0vtbw)
- [ ] [Python Full Course 4 Hours - FreeCodeCamp on YouTube](https://www.youtube.com/watch?v=rfscVS0vtbw)
- [ ] [Advanced Python - Playlist on YouTube (Python Engineer)](https://www.youtube.com/watch?v=QLTdOEn79Rc&list=PLqnslRFeH2UqLwzS0AwKDKLrpYBKzLBy2)
- [ ] [Numpy - Free Udemy Course](https://www.udemy.com/course/deep-learning-prerequisites-the-numpy-stack-in-python/)
- [ ] Matplotlib
@ -82,7 +82,14 @@ Optional:
- https://towardsdatascience.com/beginners-guide-to-machine-learning-with-python-b9ff35bc9c51
- https://www.fast.ai/2019/01/02/one-year-of-deep-learning/
GitHub:
- https://github.com/ZuzooVn/machine-learning-for-software-engineers
- https://github.com/Avik-Jain/100-Days-Of-ML-Code
- https://github.com/yanshengjia/ml-road
## Further resources added by the community
- [ ] [Book: Automate The Boring Stuff with Python](https://automatetheboringstuff.com/) (Till Chapter 6 for Python Basics, the remaining chapters include the applications of Python)
- [ ] [Basics of Neural Networks, how they learn and some of the involved Mathematics(3Blue1Brown series)](https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi)
- [ ] [Article on Beginner Level Datasets](https://medium.com/machine-learning-india/getting-started-in-data-science-beginner-level-datasets-376ffe60c6fe)
- [ ] [Article on Life Cycle of a Data Science Project](https://medium.com/machine-learning-india/the-life-cycle-of-a-data-science-project-d614d8d233b7)