DataScienceWithPython VS machine_learning_complete

Compare DataScienceWithPython vs machine_learning_complete and see what are their differences.

DataScienceWithPython

Learn Data Science with focus on adding value with the most efficient tech stack. (by LearnPythonWithRune)
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DataScienceWithPython machine_learning_complete
1 2
170 4,507
- -
2.3 5.9
almost 2 years ago 7 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.
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.

DataScienceWithPython

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

machine_learning_complete

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

What are some alternatives?

When comparing DataScienceWithPython and machine_learning_complete you can also consider the following projects:

embedding-encoder - Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.

CardMap - Code to plot cardmarket orders on a map to show where my MtG cards ended up

event-transcripts - transcripts from our recorded events

PtitPrince - python version of raincloud

Andrew-NG-Notes - This is Andrew NG Coursera Handwritten Notes.

artificial-intelligence - AI projects in python, mostly Jupyter notebooks.

awesome-data-centric-ai - Open-Source Software, Tutorials, and Research on Data-Centric AI 🤖

blog - SZÉKELYDATA | Erdély, Székelyföld és a nagyvilág a Big Data korszakában

Coincap-Api-Data_Analysis - Analyzing Cryptocurrency Price Trends: A Study of 5 Coins from the CoinCap API

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

data-science-notes - Notes of IBM Data Science Professional Certificate Courses on Coursera

tensor-sensor - The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.