GalvanizeOpenSource / stats-shortcourseLinks
The statistics short course is both a resource and survey of the areas of probability and statistics that are foundational for the data science immersive at Galvanize.
☆42Updated 5 years ago
Alternatives and similar repositories for stats-shortcourse
Users that are interested in stats-shortcourse are comparing it to the libraries listed below
Sorting:
- DSI Self Study Resources☆18Updated 6 years ago
- Walkthrough exercises from PandasTutorial by Wes McKinney.☆150Updated 5 years ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆287Updated 8 years ago
- Website and material for the FIXME course on Practical Machine Learning☆88Updated 8 years ago
- General Assembly repo for Data Science 18☆36Updated 10 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆166Updated 7 years ago
- Lessons learned the hard way through over 30+ data science interviews☆230Updated 5 years ago
- Code for CS570, Essentials of Data Science☆109Updated 8 years ago
- Tutorial: Machine Learning with Text in scikit-learn☆74Updated 9 years ago
- Introduction to Statistical Modeling with Python (PyCon 2017)☆169Updated 5 years ago
- Data Science in 30 Minutes☆84Updated 10 years ago
- The prework for Metis Data Science Bootcamp☆17Updated 11 years ago
- General Assembly's Data Science course in Washington, DC☆185Updated 3 years ago
- Public Repository for cs109a, 2017 edition☆328Updated 2 years ago
- Full Stack Data Science in Python☆257Updated 7 years ago
- Using Project Jupyter for data science.☆257Updated 4 years ago
- Lecture content for UW Software Engineering for Data Scientists☆102Updated 2 years ago
- Data Science in 30 Minutes #5: Spark☆19Updated 9 years ago
- Scikit-Learn Tutorial for PyData Seattle 2015☆136Updated 10 years ago
- Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).☆236Updated 2 years ago
- Collection of great (and free) machine learning books☆118Updated 3 years ago
- Advanced Machine Learning with Scikit-learn part I☆143Updated 5 years ago
- Feature Engineering with Pipeline Talk at ODSC West 2016, Santa Clara☆17Updated 9 years ago
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆284Updated 9 years ago
- ☆317Updated 4 years ago
- COMS W4995 Applied Machine Learning - Spring 18☆157Updated 6 years ago
- Notebook to download machine learning flashcards☆457Updated 5 years ago
- For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8☆116Updated 4 years ago
- Code for a workshop on statistical interference using computational methods in Python.☆226Updated 4 years ago
- Repository containing files for my PyCon 2014 scikit-learn tutorial.☆59Updated 11 years ago