amueller / ml-workshop-1-of-4Links
Introduction to Machine learning with Python, 4h interactive workshop
☆310Updated 5 years ago
Alternatives and similar repositories for ml-workshop-1-of-4
Users that are interested in ml-workshop-1-of-4 are comparing it to the libraries listed below
Sorting:
- Advanced Machine Learning with Scikit-learn part I☆141Updated 5 years ago
- Intermediate Machine Learning with Scikit-learn, 4h interactive workshop☆127Updated 4 years ago
- Advanced Machine Learning with Scikit-learn part II☆163Updated 5 years ago
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆248Updated 6 years ago
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆275Updated 8 years ago
- 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
- ☆107Updated 3 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 8 years ago
- Methods of data exploration and visualization using Python.☆139Updated 5 years ago
- COMS W4995 Applied Machine Learning - Spring 20☆246Updated 3 years ago
- Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog☆325Updated 2 years ago
- Experimenting with and teaching probabilistic programming☆104Updated 3 years ago
- 📊 Data Science Resources, Data Science Standards & Machine Learning Pipelines☆159Updated 2 years ago
- COMS W4995 Applied Machine Learning - Spring 19☆301Updated 5 years ago
- Introduction to Statistical Modeling with Python (PyCon 2017)☆166Updated 4 years ago
- ☆154Updated 4 years ago
- ☆33Updated 2 years ago
- ☆102Updated 6 years ago
- Tutorial given at PyData LA 2018☆97Updated 9 months ago
- A short tutorial for data scientists on how to write tests for code + data.☆120Updated 4 years ago
- Using pandas for Better (and Worse) Data Science☆323Updated 6 years ago
- Code material for a data science tutorial☆197Updated 7 years ago
- Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA☆136Updated 7 years ago
- Data Science for Good Projects☆49Updated 6 years ago
- Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph☆267Updated 4 years ago
- Data science blog☆33Updated 6 years ago
- Notebook and slides for my talk at Pydata NYC 2018☆88Updated 11 months ago
- Matt Brems' Missing Data Workshop☆83Updated 2 years ago
- General Assembly's Data Science course in Washington, DC☆185Updated 2 years ago