data-science-notes VS datacamp

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

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data-science-notes datacamp
1 6
35 303
- -
0.0 8.5
over 1 year ago 7 days 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.

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.

datacamp

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

What are some alternatives?

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

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

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!

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

lovely-tensors - Tensors, ready for human consumption

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

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

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

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

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

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

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.