dmitriydligach / PyMLSlides
Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book
☆309Updated 3 years ago
Alternatives and similar repositories for PyMLSlides:
Users that are interested in PyMLSlides are comparing it to the libraries listed below
- Machine learning with scikit-learn tutorial at PyData Chicago 2016☆127Updated 8 years ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆285Updated 7 years ago
- Machine learning with Python tutorial at MSU Data Science 2018☆108Updated 7 years ago
- Materials for the "Introduction to Machine Learning" class☆228Updated 6 years ago
- Machine Learning Tutorials in Python☆193Updated 4 years ago
- COMS W4995 Applied Machine Learning - Spring 18☆158Updated 5 years ago
- Code for a workshop on statistical interference using computational methods in Python.☆222Updated 4 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- Scikit-learn tutorial at SciPy2016☆516Updated 6 years ago
- ☆196Updated 12 years ago
- Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017☆79Updated 7 years ago
- ☆264Updated 7 years ago
- Source code for the "Learning scikit-learn: Machine Learning in Python"☆395Updated 5 years ago
- My notes and superstitions about common machine learning algorithms☆365Updated 7 years ago
- A collection of tutorials on neural networks, using Theano☆222Updated 2 years ago
- Code material for a data science tutorial☆197Updated 7 years ago
- Collection of great (and free) machine learning books☆117Updated 2 years ago
- Neural networks from scratch☆108Updated 4 years ago
- Scikit-Learn Tutorial for PyData Seattle 2015☆137Updated 9 years ago
- General Assembly's Data Science course in Washington, DC☆232Updated 9 months ago
- Introduction to Deep Learning for Image Recognition☆151Updated 8 years ago
- Basics of programming: algorithms, data structures, object oriented programming☆93Updated 6 years ago
- Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).☆378Updated 9 years ago
- Tutorial: Machine Learning with Text in scikit-learn☆74Updated 8 years ago
- Python coded examples and documentation of machine learning algorithms.☆612Updated 4 years ago
- Implementation of different machine learning techniques☆94Updated 6 years ago
- based on "Hands-On Machine Learning with Scikit-Learn & TensorFlow" (O'Reilly, Aurelien Geron)☆317Updated 7 years ago
- Translating R Data Analyses to Python☆281Updated 6 years ago
- Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph☆266Updated 4 years ago
- Advanced Scikit-learn training session☆118Updated 8 years ago