data-science-portfolio VS homemade-machine-learning

Compare data-science-portfolio 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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data-science-portfolio homemade-machine-learning
3 7
7 22,493
- -
0.0 3.8
about 2 years ago 9 months ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

data-science-portfolio

Posts with mentions or reviews of data-science-portfolio. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-09.

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 data-science-portfolio and homemade-machine-learning you can also consider the following projects:

mercury - Convert Jupyter Notebooks to Web Apps

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

awesome-notebooks - A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.

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

python-training - Python training for business analysts and traders

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

rapaio-jupyter-kernel - Java jupyter kernel

rmi - A learned index structure

mercury-examples - Example Jupyter Notebooks showing how to use Mercury framework

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