zacharski / pg2dm-python
☆875Updated 4 years ago
Alternatives and similar repositories for pg2dm-python
Users that are interested in pg2dm-python are comparing it to the libraries listed below
Sorting:
- Scikit-learn tutorial at SciPy2016☆516Updated 6 years ago
- Scikit-Learn tutorial material for Scipy 2015☆575Updated 9 years ago
- My notes and superstitions about common machine learning algorithms☆365Updated 8 years ago
- Official content for the Fall 2014 Harvard CS109 Data Science course☆318Updated 8 years ago
- Tutorial on scikit-learn and IPython for parallel machine learning☆1,592Updated 8 years ago
- Source code for the "Learning scikit-learn: Machine Learning in Python"☆395Updated 6 years ago
- Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques☆1,588Updated 5 years ago
- Open Content for self-directed learning in data science☆2,968Updated last year
- Public material for CS109☆1,480Updated 2 years ago
- General Assembly's Data Science course in Washington, DC☆798Updated 4 years ago
- Python coded examples and documentation of machine learning algorithms.☆611Updated 4 years ago
- General Assembly's Data Science course in Washington, DC☆233Updated 10 months ago
- Materials for my Pycon 2015 scikit-learn tutorial.☆896Updated 4 years ago
- Ways of doing Data Science Engineering and Machine Learning in R and Python☆608Updated 4 years ago
- ☆213Updated 3 years ago
- A rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.☆310Updated 4 years ago
- ☆213Updated 9 years ago
- Machine Learning Problem Bible | Problem Set Here >>☆714Updated 5 years ago
- Introduction to Statistics using Python☆904Updated 4 years ago
- Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog☆324Updated 2 years ago
- General Assembly's Data Science course in Washington, DC☆185Updated 2 years ago
- Scikit-learn tutorials for the Scipy 2013 conference☆325Updated 7 years ago
- Official content for Harvard CS109☆1,774Updated 2 years ago
- Code repository for Think Bayes.☆1,667Updated 4 years ago
- Deep learning in Python☆1,378Updated 4 years ago
- Machine Learning with Text in scikit-learn☆444Updated 3 years ago
- Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).☆379Updated 9 years ago
- A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks☆4,173Updated last year
- Examples from Programming Collective Intelligence☆357Updated 4 years ago
- Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book☆310Updated 3 years ago