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1. added - Essentials of Statistics by Monica Wahi in Statistics section
2. corrected - some spelling errors 
3. added  - Getting Started with Applied Machine Learning in Further readings section
4. made - some changes in Futher readings section
https:// ---> [ABC](http://)
found -  dead link in Further readings section (https://towardsdatascience.com/beginners-guide-to-machine-learning-with-python-b9ff35bc9c51)
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Wai Yan Pyae Sone 2021-09-28 17:48:55 +06:30 committed by Patrick Loeber (Python Engineer)
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@ -26,6 +26,7 @@ Watch the video on YouTube for instructions:
- [ ] [3Blue1Brown - Essence of Linear Algebra](https://www.3blue1brown.com/essence-of-linear-algebra-page/) - [ ] [3Blue1Brown - Essence of Linear Algebra](https://www.3blue1brown.com/essence-of-linear-algebra-page/)
- [ ] Statistics - [ ] Statistics
- [ ] [Khan Academy - Statistics Probability](https://www.khanacademy.org/math/statistics-probability) - [ ] [Khan Academy - Statistics Probability](https://www.khanacademy.org/math/statistics-probability)
- [ ] [Essentials of Statistics by Monica Wahi](https://www.youtube.com/watch?v=8mxrwJcB2eI&list=PL64SCLAD3d1FlVowhKnYrY7JGuVd24HWm&ab_channel=MonikaWahi) (YouTube)
- [ ] Python - [ ] 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) - [ ] [Advanced Python - Playlist on YouTube (Python Engineer)](https://www.youtube.com/watch?v=QLTdOEn79Rc&list=PLqnslRFeH2UqLwzS0AwKDKLrpYBKzLBy2)
@ -75,13 +76,14 @@ Optional:
- Get into Kaggle competitions. - Get into Kaggle competitions.
## Further readings ## Further readings
- https://towardsdatascience.com/the-cold-start-problem-how-to-break-into-machine-learning-732ee9fedf1d - [The cold start problem: how to break into machine learning](https://towardsdatascience.com/the-cold-start-problem-how-to-break-into-machine-learning-732ee9fedf1d) (Towardsdatascience)
- https://www.geeksforgeeks.org/how-to-start-learning-machine-learning/ - [How to Start Learning Machine Learning?](https://www.geeksforgeeks.org/how-to-start-learning-machine-learning/) (GeekforGeeks)
- https://www.youtube.com/watch?v=itzmu0l93wM - [How to get started in machine learning - best books and sites for machine learning](https://www.youtube.com/watch?v=itzmu0l93wM) (YouTube)
- https://elitedatascience.com/learn-machine-learning#step-0 - [How you can get a world-class machine learning education for free](https://elitedatascience.com/learn-machine-learning#step-0) (Elite Data Science)
- https://medium.com/@gordicaleksa/get-started-with-ai-and-machine-learning-in-3-months-5236d5e0f230 - [Get started with AI and machine learning in 3 months](https://medium.com/@gordicaleksa/get-started-with-ai-and-machine-learning-in-3-months-5236d5e0f230) (Aleksa Gordić)
- https://towardsdatascience.com/beginners-guide-to-machine-learning-with-python-b9ff35bc9c51 - https://towardsdatascience.com/beginners-guide-to-machine-learning-with-python-b9ff35bc9c51
- https://www.fast.ai/2019/01/02/one-year-of-deep-learning/ - [One year of deep learning](https://www.fast.ai/2019/01/02/one-year-of-deep-learning/) (Fast.ai)
- [Getting Started with Applied Machine Learning](https://machinelearningmastery.com/start-here/#getstarted) (Machine Learning Mastery)
GitHub: GitHub:
@ -90,7 +92,7 @@ GitHub:
- https://github.com/yanshengjia/ml-road - https://github.com/yanshengjia/ml-road
## Further resources added by the community ## Further resources added by the community
Contributions are welcome! If you can recommend any other ressources, feel free to open a pull request :) Contributions are welcome! If you can recommend any other resources, feel free to open a pull request :)
- [ ] [Book: Automate The Boring Stuff with Python](https://automatetheboringstuff.com/) (Till Chapter 6 for Python Basics, the remaining chapters include the applications of Python) - [ ] [Book: Automate The Boring Stuff with Python](https://automatetheboringstuff.com/) (Till Chapter 6 for Python Basics, the remaining chapters include the applications of Python)
- [ ] [Book: Python Crash Course by Erric Matthes](https://ehmatthes.github.io/pcc_2e/regular_index/) - [ ] [Book: Python Crash Course by Erric Matthes](https://ehmatthes.github.io/pcc_2e/regular_index/)
- [ ] [Book: Learning Python by Mark Lutz](https://www.oreilly.com/library/view/learning-python-5th/9781449355722/) - [ ] [Book: Learning Python by Mark Lutz](https://www.oreilly.com/library/view/learning-python-5th/9781449355722/)