Awesome Free for developer
https://free-for.dev/#/
https://github.com/ripienaar/free-for-dev
https://elvissaravia.substack.com/p/course-recommendations-for-introductoryhttps://github.com/subratcall/engineering-blogs
https://blog.feedspot.com/database_blogs/
https://orrsella.gitbooks.io/soft-eng-interview-prep/content/topics/data-structures-examples.html
https://github.com/dccuchile/CC6205
https://t.co/YGAaLZklfw?amp=1
https://ml4a.net/
repo: github.com/manujosephv/py paper: arxiv.org/abs/2104.13638
https://www.pyimagesearch.com/pyimagesearch-university/
https://gvenzl.github.io/free-oracle-for-devs/#/
https://fullstackopen.com/en/
Machine Learning & Deep Learning Courses of 2021
Applied Machine Learning youtube.com/watch?v=vcE9WG
Intro to Deep Learning youtube.com/playlist?list=
Full Stack Deep Learning course.fullstackdeeplearning.com
CS 329S: Machine Learning Systems Design stanford-cs329s.github.io/syllabus.html
https://fullstackopen.com/en/
Intro to DL - youtube.com/playlist?list=
Full Stack DL - course.fullstackdeeplearning.com
DL with PyTorch - youtube.com/playlist?list=
DL Crash Course - youtube.com/playlist?list=
Practical DL for Coders - youtu.be/0oyCUWLL_fU
https://cds.nyu.edu/deep-learning/
Statistic: https://www.youtube.com/playlist?list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo
https://www.edx.org/course/introduction-to-probability
https://web.stanford.edu/~jurafsky/slp3/
Mooc for Siklern
https://inria.github.io/scikit-learn-mooc/
https://amueller.github.io/dabl/dev/index.html
https://python.hamel.dev/concurrency/
https://github.com/TheAlgorithms/Python
https://www.theinsaneapp.com/2021/06/list-of-python-projects-with-source-code-and-tutorials.html
https://cs182sp21.github.io/
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