Links to future useful info I find and want to save for later.
[https://github.com/karan/Projects]
[https://news.ycombinator.com/item?id=15787023]
[https://github.com/tuvtran/project-based-learning/blob/master/README.md#python] - Project-based learning
[https://web.eecs.utk.edu/~azh/blog/challengingprojects.html] - Projects every programmer should try
[https://news.ycombinator.com/item?id=15127672] - Python Data Science Handbook
[https://www.dataquest.io/blog/making-538-plots/]
[https://github.com/cs109/2018-cs109b]
[http://data8.org/] - Data 8
[https://www.inferentialthinking.com/chapters/07/Visualization] - Data 8 Textbook so far...
[https://j253.github.io/blog/fun-with-nfl-stats.html] - Fun with NFL Stats
[https://mlwhiz.com/blog/2018/12/07/connected_components/] - Graph Theory in Data Science
[https://www.dataquest.io/blog/math-in-data-science/] - Maths in Data Science
[https://news.ycombinator.com/item?id=21158487] - Streamlit library
[https://news.ycombinator.com/item?id=16473482]
[http://imanmalik.com/cs/2017/06/05/neural-style.html] [https://github.com/indrajithi/mgc-django]
[https://news.ycombinator.com/item?id=14998352] - HN Free ML/AI Resources
[https://github.com/yufengg/widendeep]
[https://news.ycombinator.com/item?id=16167620]
[https://news.ycombinator.com/item?id=16247109]
[http://mlreference.com/spacy] - Spacy NLP
[https://medium.com/huggingface/100-times-faster-natural-language-processing-in-python-ee32033bdced] - Spacy X100 speedup
[https://medium.com/@karamanbk/39-machine-learning-resources-that-will-help-you-in-every-essential-step-b2696515ed9] - 39 Resources (medium.com)
[https://www.pyimagesearch.com/2018/06/18/face-recognition-with-opencv-python-and-deep-learning/] - ML and Open CV face recognition.
[http://explained.ai/matrix-calculus/index.html] - Maths for Deep Learning
[https://thomas-tanay.github.io/post--L2-regularization/] - A new angle on L2 regularisation.
[https://medium.com/@hiromi_suenaga/deep-learning-2-part-1-lesson-1-602f73869197] Notes for Fast.ai
[https://www.zerotosingularity.com/blog/fast-ai-part-1-course-1-annotated-notes/] Notes for Fast.ai
[https://developers.google.com/machine-learning/guides/] - Google ML Guides
[http://blog.petersobot.com/machine-learning-for-drummers] - Drum Sample recognition using ML
[https://mlcourse.ai/] - Machine Learning Course
[https://github.com/open-source-for-science/TensorFlow-Course] - TensorFlow course
[https://towardsdatascience.com/the-cold-start-problem-how-to-build-your-machine-learning-portfolio-6718b4ae83e9] - Building an ML portfolio
[https://github.com/trekhleb/homemade-machine-learning/blob/master/README.md] - ML Algorithms in Jupyter
[https://github.com/machinelearningmindset/machine-learning-course] - ML Course (github)
[https://github.com/keras-team/keras-tuner] - Keras tuner (Hyperparameters)
[https://iq.opengenus.org/face-aging-cgan-keras/] - Face aging using Keras
[https://yugeten.github.io/posts/2019/09/GP/] - Gaussian Processes
[https://ranvir.xyz/blog/svm-support-vector-machines-in-machine-learning/] - SVM Intro for ML
[https://github.com/arogozhnikov/python3_with_pleasure]
[http://treyhunner.com/2018/10/asterisks-in-python-what-they-are-and-how-to-use-them/] - * and ** operators
[http://treyhunner.com/2018/09/stop-writing-lambda-expressions/] - Lambda Expressions
[https://lwn.net/Articles/787800/] - inheritance vs composition
[http://shop.oreilly.com/product/9780596516130.do]
[http://www.deeplearningbook.org/]
[https://news.ycombinator.com/item?id=14277039]
[https://magenta.tensorflow.org/nsynth-fastgen]
[https://magenta.tensorflow.org/performance-rnn]
[https://news.ycombinator.com/item?id=18939913] - Self study maths
[https://github.com/MikeInnes/diff-zoo] - Differentiation for hackers
[https://github.com/llSourcell/learn_math_fast] - Learn Maths Fast
[https://github.com/jwasham/coding-interview-university]
[https://github.com/ossu/computer-science] - OSSU CS Curriculum
[https://news.ycombinator.com/item?id=20729252] - Books for CS HN Thread
[https://skerritt.blog/big-o/] - Big O notation with Python Examples
[https://teachyourselfcs.com/] - Teach Yourself CS
[https://chrisalbon.com/]
[https://news.ycombinator.com/item?id=15063469]
[https://github.com/cantaro86/Financial-Models-Numerical-Methods] - Jupyter notebook collection
[https://python.quantecon.org/] - Quant Econ
[https://www.tradientblog.com/2019/11/lessons-learned-building-an-ml-trading-system-that-turned-5k-into-200k/] - Making $200k
[https://rpiai.com/piano/] - Music AI
[https://news.ycombinator.com/item?id=17632999] - Music Pi
[https://towardsdatascience.com/making-music-when-simple-probabilities-outperform-deep-learning-75f4ee1b8e69] - DL vs probabilities
[https://github.com/deezer/spleeter] - Splitting audio into stems using ML
[https://nolannicholson.com/looper.html] - Seamlessly looping Music
[http://norvig.com/sudoku.html]
[https://blog.patricktriest.com/you-should-learn-regex/]
Calculus Differential Equations Number Theory Real Analysis Discrete Mathematics
[https://www.amazon.com/dp/0992001005/noBSguide]
[https://news.ycombinator.com/item?id=15116379] - HN maths for AI/ML
[https://news.ycombinator.com/item?id=14581273] - HN Georgia Tech free maths textbooks
[https://plus.maths.org/content/unveiling-mandelbrot-set]
[https://news.ycombinator.com/item?id=15146746] - IBM Maths of Machine Learning
[http://acko.net/blog/how-to-fold-a-julia-fractal/]
[https://news.ycombinator.com/item?id=17664084] - Maths for ML
[https://news.ycombinator.com/item?id=17920650] - Differential Equations course
[http://joshua.smcvt.edu/linearalgebra/] - Free linear algebra textbook
[https://vankessel.io/blog/2019/01/06/visualizing-complex-functions] - Visualising Complex functions
[https://thonyc.wordpress.com/2019/10/16/calculus-for-the-curious/] - Calculus for the Curious
[https://www.neilwithdata.com/mathematics-self-learner] - Maths for the self-learner
[https://betterexplained.com/articles/linear-algebra-guide/] - Linear Algebra guide
[https://news.ycombinator.com/item?id=15732926] - Think Bayes - Bayesian Statistics Made Simple
[https://recurse.henrystanley.com/post/better/]
[https://news.ycombinator.com/item?id=17706776]
[https://news.ycombinator.com/item?id=17616937] - learning sites/games etc
[https://news.ycombinator.com/item?id=17892796] - how to learn difficult things
[https://rogerdudler.github.io/git-guide/] - Git command guide
[https://learngitbranching.js.org/] - Learn Git branching
[https://bitbucket.org/BitPusher16/dotfiles/raw/49a01d929dcaebcca68bbb1859b4ac1aea93b073/refs/git/git_examples.sh] - Git commands in one script
[https://github.blog/2015-06-08-how-to-undo-almost-anything-with-git/] How to do almost anything with Git
[https://news.ycombinator.com/item?id=17690780] - SQL discussion
[https://news.ycombinator.com/item?id=17905666] - SQL interactive learning book
[http://webcache.googleusercontent.com/search?q=cache:z-c0s5-AdZ8J:coding-geek.com/how-databases-work/+&cd=12&hl=en&ct=clnk] - how relational databases work
[http://pbpython.com/pandas-pivot-table-explained.html] - Pivot Tables
[https://kanoki.org/2019/09/16/dataframe-visualization-with-pandas-plot/] - Data Visualisation with Pandas
[https://visualgo.net/en] - Visual Algorithms
[https://bradfieldcs.com/algos/] - Practical Algorithms and Data Structures
[https://adrianmejia.com/blog/2018/04/04/how-you-can-change-the-world-learning-data-structures-algorithms-free-online-course-tutorial/#.W8dYeheQiu0.hackernews] - Data Structures and Algorithms (DSA) for Beginners
[https://news.ycombinator.com/item?id=18443311] - Infinite City generation
[https://runestone.academy/runestone/static/pythonds/index.html] - Problem Solving with Algorithms
[https://github.com/dddomodossola/remi] - Remote UI
[https://build-system.fman.io/pyqt5-tutorial] - PyQT5 Tutorial
[https://florianwilhelm.info/2018/11/working_efficiently_with_jupyter_lab/] - Working Efficiently with Jupyter Notebooks
[https://github.com/hemanta212/blogger-cli] - Jupyter to blog
[https://zulko.github.io/blog/2014/09/20/vector-animations-with-python/] - Gizeh library
[https://news.ycombinator.com/item?id=18919599] - learning GIT
[https://www.machinelearningplus.com/plots/top-50-matplotlib-visualizations-the-master-plots-python/] - Top 50 plots
[https://www.labri.fr/perso/nrougier/python-opengl/#python-opengl-for-scientific-visualization] - Python and OpenGL Viz
[https://news.ycombinator.com/item?id=19050509] - learn React fundamentals
[https://news.ycombinator.com/item?id=19542975] - pandas/jupyter comment
[http://shibel.blot.im/django-keeping-logic-out-of-templates-and-views] - keeping logic out of templates
[https://course.spacy.io/] - SpaCy course
[https://nanonets.com/blog/ocr-with-tesseract/] - Ocr with pytesseract
[https://pwn.college/modules/suid] - Pwn College
[https://martinheinz.dev/blog/24] - Debugging and logging with Python
[https://jvns.ca/blog/2020/06/19/a-little-bit-of-plain-javascript-can-do-a-lot/] - A little bit of JS can do a lot
[https://github.com/kotartemiy/pygooglenews] - PyGoogle News - Google News Reader