bfortuner / ml-studyLinks
ML Learning Sabbatical Study Materials
☆132Updated 8 years ago
Alternatives and similar repositories for ml-study
Users that are interested in ml-study are comparing it to the libraries listed below
Sorting:
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- Notebooks for tutorial on Numpy.☆60Updated 5 years ago
- IPython widgets, interactive plots, interactive machine learning☆151Updated 6 years ago
- ☆79Updated 7 years ago
- All my deep learning notes: contains v1 of machine learning with Jeremy Howard, and v1 of Fastai Deep Learning 2018 part 1☆69Updated 7 years ago
- Basics of programming: algorithms, data structures, object oriented programming☆93Updated 7 years ago
- ⛔️ DEPRECATED — Exercises and solutions to accompany my Safari course introducing TensorFlow.☆177Updated last year
- Slides and materials for most of my talks by year☆92Updated last year
- Machine learning with Python tutorial at MSU Data Science 2018☆109Updated 7 years ago
- ☆35Updated 6 years ago
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆248Updated 6 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 8 years ago
- Lecture Slides, Exercises, and Deployment Materials for "Foundations of Numerical Computing"☆81Updated 2 years ago
- Advanced Scikit-learn training session☆118Updated 9 years ago
- Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator☆30Updated 7 years ago
- This is the Code for "Dimensionality Reduction - The Math of Intelligence #5" By Siraj Raval on Youtube☆50Updated 8 years ago
- Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017☆80Updated 7 years ago
- ☆101Updated 7 years ago
- Course of Machine Learning in Science and Industry at Heidelberg university☆47Updated 8 years ago
- Pandas integration with sklearn☆21Updated 8 years ago
- Tutorial on interpreting and understanding machine learning models☆69Updated 6 years ago
- Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph☆267Updated 5 years ago
- This library is a wrapper for sklearn and works with data stored using Pandas module.☆17Updated 9 years ago
- Neural networks from scratch☆108Updated 5 years ago
- ☆31Updated 5 years ago
- ☆135Updated 5 years ago
- A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.☆76Updated 6 years ago
- A Little Book of Python for Multivariate Analysis☆87Updated 9 years ago
- Pydata Dallas 2015 Scikit-Learn Tutorial☆62Updated 10 years ago
- Ordinal Regression tutorial for the International Summer School on Deep Learning 2019☆70Updated 6 years ago