data-science-notes VS MAPIE

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

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data-science-notes MAPIE
1 1
35 1,152
- 3.5%
0.0 9.7
over 1 year ago 1 day ago
Jupyter Notebook Jupyter Notebook
MIT License BSD 3-clause "New" or "Revised" 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.

MAPIE

Posts with mentions or reviews of MAPIE. We have used some of these posts to build our list of alternatives and similar projects.
  • How to calculate confidence level of a regression model?
    1 project | /r/MLQuestions | 16 Sep 2022
    Did some research and apparently there are number of ways and regression seems to be quite hard and no straightforward answer. Came across MAPIE (https://github.com/scikit-learn-contrib/MAPIE) which predicts a upper and lower range of values.. how can I then calculate the confidence for a given prediction?

What are some alternatives?

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

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

pycaret - An open-source, low-code machine learning library in Python

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

tsai - Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

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

FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

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

PyABSA - Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;

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

datacamp - 🍧 DataCamp data-science and machine learning courses

nyc_traffic_flask - Flask App with leaflet.js that can perform NYC Traffic Prediction