amueller / scipy-2018-sklearn
Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
☆246Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for scipy-2018-sklearn
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆284Updated 7 years ago
- Introduction to Statistical Modeling with Python (PyCon 2017)☆167Updated 4 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆164Updated 5 years ago
- Code material for a data science tutorial☆195Updated 7 years ago
- IPython widgets, interactive plots, interactive machine learning☆151Updated 5 years ago
- Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph☆263Updated 4 years ago
- COMS W4995 Applied Machine Learning - Spring 18☆158Updated 5 years ago
- ☆135Updated 5 years ago
- edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab☆224Updated 5 years ago
- Code for a workshop on statistical interference using computational methods in Python.☆219Updated 3 years ago
- Machine learning with Python tutorial at MSU Data Science 2018☆107Updated 6 years ago
- Advanced Machine Learning with Scikit-learn part II☆162Updated 4 years ago
- Basics of programming: algorithms, data structures, object oriented programming☆94Updated 6 years ago
- A repository for public storage of slides given at the 17th Python in Science Conferences (2018)☆135Updated 5 years ago
- Public Repository for cs109a, 2017 edition☆326Updated last year
- Advanced Machine Learning with Scikit-learn part I☆140Updated 4 years ago
- Materials for the "Introduction to Machine Learning" class☆228Updated 5 years ago
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆270Updated 7 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 7 years ago
- Introduction to Machine learning with Python, 4h interactive workshop☆305Updated 4 years ago
- Code for a tutorial on Bayesian Statistics by Allen Downey.☆345Updated 4 years ago
- Implementation of different machine learning techniques☆94Updated 6 years ago
- Reproducible Data Analysis Workflow in Jupyter☆117Updated 6 years ago
- Parallel computing in Python tutorial materials☆304Updated 5 years ago
- Materials for GWU DNSC 6279 and DNSC 6290.☆237Updated 5 months ago
- Doing Bayesian statistics in Python!☆66Updated 6 years ago
- An easy to use waterfall chart function for Python☆160Updated 3 years ago
- Materials for PyCon 2017 presentation on optimizing Pandas code☆215Updated 5 years ago
- Materials for "Parallelizing Scientific Python with Dask"☆71Updated 6 years ago
- COMS W4995 Applied Machine Learning - Spring 19☆304Updated 5 years ago