| JuliaStats/MultivariateStats.jl |
359 |
|
53 |
0 |
over 2 years ago |
0 |
October 18, 2016 |
46 |
other |
Julia |
| A Julia package for multivariate statistics and data analysis (e.g. dimension reduction) |
| SchoolOfAISaoPaulo/aulas |
167 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Aulas da Escola de Inteligência Artificial de São Paulo |
| vanshika230/Machine-Learning |
161 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| This repository contains implementations of all Machine Learning Algorithms from scratch in Python. Mathematics required for ML and many projects have also been included. |
| psychbruce/bruceR |
131 |
|
5 |
5 |
over 2 years ago |
22 |
January 29, 2026 |
2 |
gpl-3.0 |
R |
| 📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses. |
| Carl-McBride-Ellis/Compendium-of-free-ML-reading-resources |
106 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
|
| Compendium of free ML reading resources |
| chasmani/piecewise-regression |
76 |
|
0 |
0 |
over 2 years ago |
20 |
December 13, 2022 |
0 |
mit |
Python |
| piecewise-regression (aka segmented regression) in python. For fitting straight line models to data with one or more breakpoints where the gradient changes. |
| MrGeislinger/flatiron-school-data-science-curriculum-resources |
75 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Lesson material on data science and machine learning topics/concepts |
| amanovishnu/iNeuron-Full-Stack-Data-Science-Assignments |
68 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| This Repository consists of Assignments and projects of the iNeuron Full Stack Data Science Course |
| TerenceLiu98/Undergraduate-in-Statistics |
57 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Using Computer with your Statistics Major Course |
| rsnemmen/BCES |
56 |
|
0 |
0 |
about 3 years ago |
4 |
March 10, 2023 |
1 |
mit |
Python |
| Python module for performing linear regression for data with measurement errors and intrinsic scatter |
