amueller / COMS4995-s18
COMS W4995 Applied Machine Learning - Spring 18
☆158Updated 5 years ago
Related projects: ⓘ
- Materials for the "Advanced Scikit-learn" class in the afternoon☆163Updated 5 years ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆283Updated 6 years ago
- Basics of programming: algorithms, data structures, object oriented programming☆94Updated 6 years ago
- Implementation of different machine learning techniques☆94Updated 6 years ago
- ☆84Updated this week
- Website and material for the FIXME course on Practical Machine Learning☆88Updated 6 years ago
- Code material for a data science tutorial☆194Updated 7 years ago
- Doing Bayesian statistics in Python!☆66Updated 6 years ago
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆246Updated 5 years ago
- Machine learning with scikit-learn tutorial at PyData Chicago 2016☆129Updated 7 years ago
- Materials for the "Introduction to Machine Learning" class☆228Updated 5 years ago
- Machine learning with Python tutorial at MSU Data Science 2018☆107Updated 6 years ago
- Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017☆79Updated 7 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 7 years ago
- Materials for GWU DNSC 6279 and DNSC 6290.☆237Updated 3 months ago
- Advanced Scikit-learn training session☆119Updated 8 years ago
- A Little Book of Python for Multivariate Analysis☆86Updated 8 years ago
- ☆143Updated this week
- Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph☆262Updated 4 years ago
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆267Updated 7 years ago
- ⛔️ DEPRECATED — Exercises and solutions to accompany my Safari course introducing TensorFlow.☆173Updated 11 months ago
- ☆108Updated this week
- All my deep learning notes: contains v1 of machine learning with Jeremy Howard, and v1 of Fastai Deep Learning 2018 part 1☆67Updated 6 years ago
- ☆184Updated this week
- Lecture content for UW Software Engineering for Data Scientists☆102Updated 11 months ago
- General Assembly repo for Data Science 18☆36Updated 9 years ago
- Scikit-Learn Tutorial for PyData Seattle 2015☆136Updated 9 years ago
- This contains materials for the word embeddings workshop☆124Updated 7 years ago
- General Assembly's Data Science course in Washington, DC☆185Updated 2 years ago
- Code for a workshop on statistical interference using computational methods in Python.☆219Updated 3 years ago