datascience-template VS homemade-machine-learning

Compare datascience-template vs homemade-machine-learning 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)
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datascience-template homemade-machine-learning
1 7
19 22,559
- -
0.0 3.8
over 1 year ago 10 months ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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datascience-template

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

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 datascience-template and homemade-machine-learning you can also consider the following projects:

An-Introduction-to-Statistical-Learning - This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

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

video-super-resolution-youtube

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

handson-ml - ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

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

code - Compilation of R and Python programming codes on the Data Professor YouTube channel.

rmi - A learned index structure

snowpark-python-demos - This repository provides various demos/examples of using Snowpark for Python.

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.