datacamp VS data-science-notes

Compare datacamp vs data-science-notes and see what are their differences.

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datacamp data-science-notes
6 1
313 35
- -
8.5 0.0
24 days ago over 1 year 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.

datacamp

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

data-science-notes

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

What are some alternatives?

When comparing datacamp and data-science-notes you can also consider the following projects:

AI-Hacktoberfest - Welcome to the Hacktoberfest Challenge for Artificial Intelligence / Machine Learning ! Today we will be assessing your skills to Predict Forest Fire Areas given its various parameters!

MAPIE - A scikit-learn-compatible module for estimating prediction intervals.

lovely-tensors - Tensors, ready for human consumption

hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

Data-science - Collection of useful data science topics along with articles, videos, and code

pandas-profiling - Create HTML profiling reports from pandas DataFrame objects [Moved to: https://github.com/ydataai/pandas-profiling]

60-Days-of-Data-Science-and-ML - 60 Days of Data Science and ML

strava-analysis - 🏃📊 Using strava to do personal analyses and to practice data scientist skills.

Twitter-sentiment-analysis - A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.

linear_elasticity_3D_fenics - Finite element modeling for linear elasticity problem in 3D by using FEniCS software