nick-ulle / 2015-python
(Winter 2015) Python for Data Mining mini-course.
☆33Updated 6 years ago
Alternatives and similar repositories for 2015-python:
Users that are interested in 2015-python are comparing it to the libraries listed below
- This repository holds all course materials for the fall 2015 offering of Statistics 243 at UC Berkeley.☆34Updated 7 years ago
- Companion code for YouTube video: https://www.youtube.com/watch?v=Og7CGAfSr_Y&feature=youtu.be☆23Updated 10 years ago
- Ensemble/Blender example in R using Caret (companion code for YouTube video: https://www.youtube.com/watch?v=k7sTiTWWCXM)☆11Updated 10 years ago
- ☆66Updated 2 years ago
- Website and material for the FIXME course on Practical Machine Learning☆90Updated 7 years ago
- Material for Machine Learning Meetup "Machine Learning with Scikit-learn"☆29Updated 9 years ago
- Doing Bayesian statistics in Python!☆67Updated 7 years ago
- my public kaggle code☆79Updated 11 years ago
- Code used in Kaggle competitions☆23Updated 7 years ago
- Public Kaggle Code and Info☆43Updated 9 years ago
- Information Package☆44Updated 9 years ago
- Presentation on Gradient Boosting☆13Updated 8 years ago
- ☆97Updated 7 years ago
- Repository for exploratory data transformation & visualization talk☆27Updated 8 years ago
- IPython notebook for PyData SF 2014 tutorial: "Gradient Boosted Regression Trees in scikit-learn"☆63Updated 7 years ago
- Cleaned code of the winning submission of the Kaggle Recruiting Competition☆123Updated 5 years ago
- R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"☆61Updated 2 years ago
- R Interface for LightGBM☆47Updated 7 years ago
- ☆78Updated 9 years ago
- repository for code related to the end-to-end data analysis in python workshop, from the Open Data Science Conference 2015☆15Updated 9 years ago
- Tutorial Created for SciPy 2012☆58Updated 12 years ago
- Python code for Hadley Whickham's article on Tidy Data.☆35Updated 8 years ago
- ☆26Updated 8 years ago
- Data Science in 30 Minutes☆84Updated 9 years ago
- This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.☆70Updated 7 years ago
- Repository for the PyData DC 2016 tutorial☆29Updated 8 years ago
- An R package that makes xgboost models fully interpretable☆256Updated 6 years ago
- ☆31Updated 6 years ago
- Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)☆196Updated 8 years ago
- Kaggle's AXA Driver Telematics Analysis☆11Updated 10 years ago