datacamp VS AI-Hacktoberfest

Compare datacamp vs AI-Hacktoberfest and see what are their differences.

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! (by dsc-iem)
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datacamp AI-Hacktoberfest
6 1
310 11
- -
8.5 3.2
23 days ago over 3 years ago
Jupyter Notebook Jupyter Notebook
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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.

AI-Hacktoberfest

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

What are some alternatives?

When comparing datacamp and AI-Hacktoberfest you can also consider the following projects:

lovely-tensors - Tensors, ready for human consumption

ISLR-python - An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

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

smt - Surrogate Modeling Toolbox

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

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

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

machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

PANDAS-TUTORIAL - Jupyter Notebooks and Data Sets for Pandas Library

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.

DataScienceProjects