nba-stats-analysis VS homemade-machine-learning

Compare nba-stats-analysis vs homemade-machine-learning and see what are their differences.

nba-stats-analysis

Jupyter Notebooks with Applications of Data Science and Analysis with NBA data, using the information available through the NBA Stats API. (by lbiedma)

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained (by trekhleb)
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nba-stats-analysis homemade-machine-learning
1 7
2 22,545
- -
2.7 3.8
almost 3 years ago 10 months ago
Jupyter Notebook Jupyter Notebook
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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nba-stats-analysis

Posts with mentions or reviews of nba-stats-analysis. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-30.
  • Weekly Friday Self-Promotion and Fan Art Thread
    2 projects | /r/nba | 30 Jul 2021
    I have been using it to make some analytics job on a couple of different points, as I start reading sources like Dean Oliver's Basketball on Paper, and have been uploading it to my GitHub repo. The format is in Jupyter Notebooks, so if anyone is familiar with Python, you can run it on your own computers.

homemade-machine-learning

Posts with mentions or reviews of homemade-machine-learning. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-14.

What are some alternatives?

When comparing nba-stats-analysis and homemade-machine-learning you can also consider the following projects:

nba_api - An API Client package to access the APIs for NBA.com

lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)

fastai - The fastai deep learning library

wordle-solver - For educational purposes, a simple script that assists in solving the word game Wordle.

Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.

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

TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

rmi - A learned index structure

PythonRobotics - Python sample codes for robotics algorithms.

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.

hdbscan - A high performance implementation of HDBSCAN clustering.