homemade-machine-learning VS PyImpetus

Compare homemade-machine-learning vs PyImpetus and see what are their differences.

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained (by trekhleb)

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 (by atif-hassan)
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homemade-machine-learning PyImpetus
7 1
22,545 116
- -
3.8 1.4
10 months ago about 1 year ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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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.

PyImpetus

Posts with mentions or reviews of PyImpetus. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing homemade-machine-learning and PyImpetus you can also consider the following projects:

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

machine_learning_basics - Plain python implementations of basic machine learning algorithms

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

hdbscan - A high performance implementation of HDBSCAN clustering.

rmi - A learned index structure

humble-benchmarks - Benchmarking programming languages using statistics and machine learning algorithms

PythonRobotics - Python sample codes for robotics algorithms.

feature-engineering-tutorials - Data Science Feature Engineering and Selection Tutorials

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/