smt
Surrogate Modeling Toolbox (by SMTorg)
ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code (by JWarmenhoven)
| smt | ISLR-python | |
|---|---|---|
| 1 | 10 | |
| 624 | 4,209 | |
| 1.6% | - | |
| 8.6 | 0.0 | |
| 3 days ago | over 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| BSD 3-clause "New" or "Revised" License | 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.
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.
smt
Posts with mentions or reviews of smt.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-06.
-
botorch VS SMT - a user suggested alternative
2 projects | 6 Dec 2023
For unconstrained Bayesian Optimization
ISLR-python
Posts with mentions or reviews of ISLR-python.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-19.
- How is this for a Data Analysis roadmap?
-
DATA SCIENTIST ROADMAP
3) Then, work through the ISLR book: Book: https://www.statlearning.com/ Video: https://www.youtube.com/playlist?list=PLoROMvodv4rOzrYsAxzQyHb8n_RWNuS1e Jupyter Notebooks (Python version): https://github.com/JWarmenhoven/ISLR-python
-
[E] Please recommend statistics books for a beginner for data science.
Also, if you know you’re going to be using Python, you can find repos out there with the code converted from R to Python on Github. Ex: https://github.com/JWarmenhoven/ISLR-python
-
Have you found it impeding that the exercises in Intro to Statistical learning are in R?
Lots of people redid the labs in Python if you really want Python instead, a quick google search gave me https://github.com/alexandrasouly/ISLR-but-python and https://github.com/JWarmenhoven/ISLR-python
-
ESL vs ISLR books?
Here or here for the Python versions of ISLR.
-
Low Level Books or Courses
I don't think many people know this, but there's actually a very helpful Python Github repo to accompany the ISLR book (which uses R). Hope this helps :D
-
Looking for resources to get better at statistics
People have also recreated the examples in Python if that is your preferred language.
-
I want to learn machine learning and I want to make small projects in the future. Where do I start? Any tips and advice?
ISLR Code in Python
- Help with An Introduction to Statistical Learning: Figure 1.3
-
Maths for Deep Learning (mainly computer vision)
I am facing the same problem! I worked through the fastai tutorials for land classification purposes and felt there was a real gap between what I was doing in Python and what I actually understood. I found the fastai tutorials were a great start when followed by a math refresher like the introduction to statistical learning (ISLR) from Stanford. I know Stanford was changing its online class format on the Lagunita platform, but hopefully its still free and online. The profs wrote it in R, but here is a python wprkthrough. (https://github.com/JWarmenhoven/ISLR-python).
What are some alternatives?
When comparing smt and ISLR-python you can also consider the following projects:
eve-sso - Eve Online Single Sign On (SSO)
An-Introduction-to-Statistical-Learning - This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
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!
ISL-python - Porting the R code in ISL to python. Labs and exercises
botorch - Bayesian optimization in PyTorch
ISLR.jl - JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"