sklearn_pycon2015

Python tutorial materials

A collection of materials for teaching scikit-learn to Python developers

Materials for my Pycon 2015 scikit-learn tutorial.

GitHub

895 stars
71 watching
580 forks
Language: Jupyter Notebook
last commit: about 4 years ago

Related projects:

Repository Description Stars
amueller/scipy_2015_sklearn_tutorial Tutorials and materials for learning machine learning with Python using popular libraries like scikit-learn. 576
gmonce/scikit-learn-book Source code and data for a machine learning book with Python tutorials 393
shanky-21/machine_learning A collection of machine learning techniques taught through interactive Jupyter Notebooks 29
gaelvaroquaux/scikit-learn-tutorial A tutorial on applying machine learning to practical situations using the scikit-learn library 129
scikit-learn/scikit-learn A comprehensive Python module for machine learning built on top of SciPy 60,136
jakevdp/whirlwindtourofpython An introduction to Python programming and data science 3,730
mrmimic/data-scientist-roadmap Creating tutorials to teach data science skills through Jupyter Notebook 6,979
mila-iqia/summerschool2015 Provides slides and exercises for teaching deep learning concepts to students 392
allendowney/thinkpython Jupyter notebooks and accompanying resources for teaching computer science fundamentals 1,298
robintw/xarray_pyconuk2018 An XArray-based project presenting and demonstrating the capabilities of the library at PyCon UK 2018 18
lensacom/sparkit-learn A Python library that integrates PySpark and scikit-learn for distributed machine learning 1,154
4dsolutions/python5 An experiment in teaching Python programming using Jupyter Notebooks 11
knaaptime/pysal-scipy20 A comprehensive resource for learning spatial data science with PySAL and its integration with SciPy 2020 66
hpcgarage/accelerated_dl_pytorch This repository provides tutorials and demo code for accelerated deep learning with PyTorch using Jupyter Notebook. 127
mishima-syk/py4chemoinformatics A comprehensive guide to chemoinformatics using Python and RDKit 222