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5 changes: 5 additions & 0 deletions README.md
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Expand Up @@ -13,11 +13,13 @@ Learn some math basics! Focus only on these topics, then come back later in case
* [Khan Academy - Linear Algebra](https://www.khanacademy.org/math/linear-algebra)
* [Khan Academy - Statistics Probability](https://www.khanacademy.org/math/statistics-probability)
* [Optional: 3Blue1Brown - Essence of Linear Algebra](https://www.3blue1brown.com/essence-of-linear-algebra-page/)
* [Optional - The Organic Chemistry Tutor Math](https://www.youtube.com/@TheOrganicChemistryTutor/playlists)
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This has nothing to do with Machine Learning

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Removed. Also kindly ignore commit message. My apologies


## 2. Learn Python

* [4h Beginner Course](https://youtu.be/rfscVS0vtbw)
* [6h Intermediate Python Programming Course](https://youtu.be/HGOBQPFzWKo)
* [4h Beginner to Intermediate interactive Python Course](https://scrimba.com/learn/python)

## 3. Learn The ML Tech Stack:

Expand Down Expand Up @@ -46,9 +48,12 @@ Solve Challenges and build your own projects with datasets from [Kaggle.com](Kag
* Specialize in one field (e.g. Computer Vision, NLP, etc.)
* Look at requirements in corresponding job descriptions and learn those skills
* Tip: Create a blog and share tutorials and what you have learned!
* Tip #2: [Learn Markdown by making a Blog](https://scrimba.com/learn/markdownblog)

## Books
If you prefer learning with books, these are great recommendations:

* [Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow](https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/)
* [Machine Learning with PyTorch and Scikit-Learn](https://www.packtpub.com/product/machine-learning-with-pytorch-and-scikit-learn/9781801819312)
* [Hands-On Data Science and Python Machine Learning](https://www.packtpub.com/product/hands-on-data-science-and-python-machine-learning/9781787280748)