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@ -264,6 +264,7 @@ It's a great way to learn.
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* [**JavaScript / Java**: _Neural Networks - The Nature of Code_](https://www.youtube.com/playlist?list=PLRqwX-V7Uu6aCibgK1PTWWu9by6XFdCfh) [video]
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* [**JavaScript**: _Neural networks from scratch for JavaScript linguists (Part1 — The Perceptron)_](https://hackernoon.com/neural-networks-from-scratch-for-javascript-linguists-part1-the-perceptron-632a4d1fbad2)
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* [**Python**: _A Neural Network in 11 lines of Python_](https://iamtrask.github.io/2015/07/12/basic-python-network/)
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* [**Python**: _Build Deep Learning From Scratch (reimplement PyTorch internals across 34 stages)_](https://github.com/roiamiel1/Build-Deep-Learning-From-Scratch)
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* [**Python**: _Implement a Neural Network from Scratch_](https://victorzhou.com/blog/intro-to-neural-networks/)
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* [**Python**: _Optical Character Recognition (OCR)_](http://aosabook.org/en/500L/optical-character-recognition-ocr.html)
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* [**Python**: _Traffic signs classification with a convolutional network_](https://navoshta.com/traffic-signs-classification/)
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@ -484,6 +485,7 @@ It's a great way to learn.
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* [**Python**: _Stock Market Predictions with LSTM in Python_](https://www.datacamp.com/community/tutorials/lstm-python-stock-market)
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* [**Python**: _Building a simple Generative Adversarial Network (GAN) using Tensorflow_](https://blog.paperspace.com/implementing-gans-in-tensorflow/)
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* [**Python**: _Learn ML Algorithms by coding: Decision Trees_](https://lethalbrains.com/learn-ml-algorithms-by-coding-decision-trees-439ac503c9a4)
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* [**Python**: _Build K-means clustering algorithm from scratch_](https://pub.towardsai.net/k-means-clustering-from-scratch-efd629435987)
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* [**Python**: _JSON Decoding Algorithm_](https://github.com/cheery/json-algorithm)
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* [**Python**: _Build your own Git plugin with python_](https://joshburns-xyz.vercel.app/posts/build-your-own-git-plugin)
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* [**Ruby**: _A Pedometer in the Real World_](http://aosabook.org/en/500L/a-pedometer-in-the-real-world.html)
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