amueller / scipy-2018-sklearn
Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
☆247Updated 6 years ago
Alternatives and similar repositories for scipy-2018-sklearn:
Users that are interested in scipy-2018-sklearn are comparing it to the libraries listed below
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆285Updated 7 years ago
- IPython widgets, interactive plots, interactive machine learning☆151Updated 5 years ago
- ☆135Updated 5 years ago
- Advanced Machine Learning with Scikit-learn part I☆142Updated 4 years ago
- COMS W4995 Applied Machine Learning - Spring 18☆158Updated 5 years ago
- edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab☆224Updated 5 years ago
- Code material for a data science tutorial☆197Updated 7 years ago
- Advanced Machine Learning with Scikit-learn part II☆163Updated 4 years ago
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆271Updated 8 years ago
- Introduction to Statistical Modeling with Python (PyCon 2017)☆166Updated 4 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 7 years ago
- A repo with tutorials for algorithms from scratch☆100Updated 6 years ago
- Intermediate Machine Learning with Scikit-learn, 4h interactive workshop☆127Updated 3 years ago
- Introduction to Machine learning with Python, 4h interactive workshop☆309Updated 4 years ago
- Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph☆266Updated 4 years ago
- An easy to use waterfall chart function for Python☆161Updated 4 years ago
- Machine learning with Python tutorial at MSU Data Science 2018☆108Updated 6 years ago
- Code for a workshop on statistical interference using computational methods in Python.☆219Updated 3 years ago
- Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog☆320Updated last year
- Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison☆493Updated 6 years ago
- Implementation of different machine learning techniques☆94Updated 6 years ago
- Materials for an online-course - "Practical XGBoost in Python"☆218Updated 8 years ago
- Doing Bayesian statistics in Python!☆67Updated 7 years ago
- Basics of programming: algorithms, data structures, object oriented programming☆94Updated 6 years ago
- COMS W4995 Applied Machine Learning - Spring 19☆303Updated 5 years ago
- Material for Talk at PyData Seattle 2017☆168Updated 6 years ago
- Experimenting with and teaching probabilistic programming☆103Updated 2 years ago
- A repository for public storage of slides given at the 17th Python in Science Conferences (2018)☆135Updated 5 years ago
- Personal data science and machine learning toolbox☆365Updated 5 years ago