Introduction_to_statistical_learning_summary_python
Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data. (by shilpa9a)
Statistics-and-probability
Statistical concepts, from statistical inference to Bayes probability and different distribution types (by Vitomir84)
| Introduction_to_statistical_learning_summary_python | Statistics-and-probability | |
|---|---|---|
| 1 | 2 | |
| 166 | 3 | |
| - | - | |
| 10.0 | 0.0 | |
| almost 2 years ago | about 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | GNU General Public License v3.0 only |
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.
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.
Introduction_to_statistical_learning_summary_python
Posts with mentions or reviews of Introduction_to_statistical_learning_summary_python.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-12.
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Can you recommend a Python textbook to replace "An Introduction to Statistical Learning with Applications in R", Witten, J. et. al. [E]
There is Python code available for that book.
Statistics-and-probability
Posts with mentions or reviews of Statistics-and-probability.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-08.
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Functions for statistical inference
I wrote functions for statistical inference according to normal distribution with examples easy to understand. Please fork me and star me if you like it and find it useful. Functions for statistical inference. In the same repo, you can find more useful things, from BOX-COX transformations, VIF, Tukey's lambda for modelling different distributions, Gibbs Sampling, etc.
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I am sharing interesting codes for improving programming for data science and ML, from approximation of pi number to the Monte Carlo simulation of Montichol's paradox. Please share something similar if you have it or fork me if you liked it
Here also you can find the some basic statistical stuff: https://github.com/Vitomir84/Statistics-and-probability
What are some alternatives?
When comparing Introduction_to_statistical_learning_summary_python and Statistics-and-probability you can also consider the following projects:
datacamp - 🍧 DataCamp data-science and machine learning courses
An-Introduction-to-Statistical-Learning - This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.