amueller / ml-workshop-4-of-4Links
Advanced Machine Learning with Scikit-learn part II
☆163Updated 5 years ago
Alternatives and similar repositories for ml-workshop-4-of-4
Users that are interested in ml-workshop-4-of-4 are comparing it to the libraries listed below
Sorting:
- Advanced Machine Learning with Scikit-learn part I☆143Updated 5 years ago
- Intermediate Machine Learning with Scikit-learn, 4h interactive workshop☆128Updated 4 years ago
- Introduction to Machine learning with Python, 4h interactive workshop☆311Updated 5 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- ☆155Updated 4 years ago
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆248Updated 6 years ago
- Code material for a data science tutorial☆197Updated 8 years ago
- ☆101Updated 7 years ago
- Experimenting with and teaching probabilistic programming☆105Updated 3 years ago
- ☆91Updated 5 years ago
- Notebook and slides for my talk at Pydata NYC 2018☆88Updated last year
- Slides and code examples for H2O tutorials at various events☆56Updated 8 years ago
- ⛔️ DEPRECATED — Exercises and solutions to accompany my Safari course introducing TensorFlow.☆175Updated 2 years ago
- Materials for GWU DNSC 6279 and DNSC 6290.☆240Updated 4 months ago
- Python data science and machine learning from Ted Petrou with Dunder Data☆55Updated 2 years ago
- Tutorial given at PyData LA 2018☆97Updated last year
- COMS W4995 Applied Machine Learning - Spring 20☆247Updated 3 years ago
- Materials for the "Introduction to Machine Learning" class☆228Updated 6 years ago
- Material for Talk at PyData Seattle 2017☆168Updated 7 years ago
- Data Science for Good Projects☆49Updated 7 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 8 years ago
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆280Updated 8 years ago
- Codes, notes and guides on Udacity's machine learning nanodegree.☆83Updated 9 years ago
- Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph☆270Updated 5 years ago
- Personal repository of data science demonstrations and references☆77Updated 2 years ago
- Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH☆156Updated 4 years ago
- COMS W4995 Applied Machine Learning - Spring 18☆157Updated 6 years ago
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆105Updated 6 years ago
- The art of effective visualization of multi-dimensional data☆162Updated 6 years ago
- Applied Machine Learning with Python☆80Updated last year