learning-machine
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homemade-machine-learning
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learning-machine | homemade-machine-learning | |
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10 | 7 | |
486 | 22,438 | |
- | - | |
0.0 | 3.8 | |
2 months ago | 8 months ago | |
Python | Jupyter Notebook | |
Apache License 2.0 | MIT License |
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learning-machine
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Show HN: A Machine Learning Book: Learn ML by Reading Answers, Like So
Hi HN, original poster here!
We made a compilation (book) of questions that we got from 1300+ students from this course [1].
We believe that stackoverflow-like Q/A scheme is best for learning, so we made this.
Project Repo: https://github.com/rentruewang/learning-machine
Website: https://rentruewang.github.io/learning-machine
The website is hosted on GitHub, automatically built from the repo by github actions.
We are lucky to get some feedbacks on reddit here [2], here [3], and here [4], and have made changes accordingly. We really want to know what you guys on HN think. Any suggestions are welcome!
[1] https://speech.ee.ntu.edu.tw/~hylee/ml/2021-spring.html
[2] https://www.reddit.com/r/datascience/comments/oz7xab/open_so...
[3] https://www.reddit.com/r/learnmachinelearning/comments/oz78n...
[4] https://www.reddit.com/r/MachineLearning/comments/oz7p26/p_o...
homemade-machine-learning
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✨ 5 Best GitHub Repositories to Learn Machine Learning in 2022 for Free 💯
4️⃣ Homemade Machine Learning
What are some alternatives?
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
wordle-solver - For educational purposes, a simple script that assists in solving the word game Wordle.
PyImpetus - PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features
rmi - A learned index structure
PythonRobotics - Python sample codes for robotics algorithms.
hdbscan - A high performance implementation of HDBSCAN clustering.
the-elements-of-statistical-learning - My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
AlgorithmicTrading - This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.
CFDPython - A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
raku-jupyter-kernel - Raku Kernel for Jupyter notebooks
100-Days-Of-ML-Code - 100 Days of ML Coding
AeroPython - Classical Aerodynamics of potential flow using Python and Jupyter Notebooks