jbwhit / 2017-05-PyCon-EDA-Tutorial
EDA Tutorial for 2017 PyCon Portland
☆13Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for 2017-05-PyCon-EDA-Tutorial
- Common post-estimation tasks for scikit-learn☆17Updated 7 years ago
- Miscellaneous Jupyter Notebooks for my course.☆22Updated 8 years ago
- Predicting happiness from demographics and poll answers☆45Updated 7 years ago
- A Tour of Time Series Analysis☆23Updated 8 years ago
- Bayesian statistics seminars☆30Updated 7 years ago
- These are the IPython notebook files for the CSC 432 Spring '13 course.☆23Updated 9 years ago
- Material and slides for Boston NLP meetup May 23rd 2016☆17Updated 8 years ago
- Jupyter Notebook tips and tricks for the Berkeley Institute for Data Science lecture. http://bids.berkeley.edu/☆28Updated 8 years ago
- PyTennessee 2014: Statistical Data Analysis in Python☆85Updated 10 years ago
- Presentation on How to use Facebook Prophet☆8Updated 7 years ago
- feng - feature engineering for machine-learning champions☆27Updated 7 years ago
- Code for PyData Talk on "Classifying Products Based on Images and Text using Keras"☆30Updated 7 years ago
- Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator☆30Updated 6 years ago
- PyDataLondonTutorial☆26Updated 8 years ago
- ☆15Updated 2 years ago
- Tutorial on multilevel modeling, using Gelman radon example☆55Updated 9 years ago
- Very basic introduction to pyspark☆15Updated 7 years ago
- Notes for Data Science 350 Class☆23Updated 7 years ago
- ☆30Updated 6 years ago
- A tool that evolves small brains capable of scanning and classifying an image.☆13Updated 8 years ago
- Doing Bayesian statistics in Python!☆66Updated 6 years ago
- Jupyter Notebook for PyData DC 2016 on "Making Your Code Faster: Cython and parallel processing in the Jupyter Notebook"☆12Updated 8 years ago
- Tutorial Created for SciPy 2012☆58Updated 11 years ago
- An in depth tutorial on sklearn's Pipeline and FeatureUnion classes.☆16Updated 7 years ago
- Slides and materials for most of my talks by year☆91Updated last year
- Feature Engineering with Pipeline Talk at ODSC West 2016, Santa Clara☆17Updated 8 years ago
- A collection of IPython Notebooks containing my research.☆20Updated 6 years ago
- Course of Machine Learning in Science and Industry at Heidelberg university☆47Updated 7 years ago
- ☆11Updated 8 years ago