erikbern / conversionLinks
Because you're computing conversion rates wrong
☆16Updated 8 years ago
Alternatives and similar repositories for conversion
Users that are interested in conversion are comparing it to the libraries listed below
Sorting:
- Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016☆26Updated 8 years ago
- Interactive visualization of non-linear logistic regression decision boundaries☆28Updated 10 years ago
- ☆13Updated 8 years ago
- A tool that evolves small brains capable of scanning and classifying an image.☆14Updated 8 years ago
- Common post-estimation tasks for scikit-learn☆17Updated 8 years ago
- A collection of IPython Notebooks containing my research.☆20Updated 6 years ago
- Materials for the PyData San Francisco 2016 visualization tutorial☆14Updated 8 years ago
- Benchmarks of the H2O Ensemble R interface (H2O 2.0).☆14Updated 4 years ago
- 2016 Election Data Hackathon, Bay Area WiMLDS☆18Updated 8 years ago
- Kaggle's AXA Driver Telematics Analysis☆11Updated 10 years ago
- Python (PyMC) adaptation of the R code from "Doing Bayesian Data Analysis"☆64Updated 8 years ago
- An in depth tutorial on sklearn's Pipeline and FeatureUnion classes.☆16Updated 8 years ago
- Inspired by John Foreman. Created by the crowds.☆54Updated last year
- Material and slides for Boston NLP meetup May 23rd 2016☆17Updated 9 years ago
- ☆24Updated 6 years ago
- Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions☆21Updated 7 years ago
- Python code for Hadley Whickham's article on Tidy Data.☆35Updated 8 years ago
- repo for my ODSC West 2017 Talk: "Livecoding Madness: Let's Build a Deep Learning Library"☆13Updated 7 years ago
- Python data analysis course for 2017 NGCM Summer Academy☆20Updated 8 years ago
- LDA workshop presented by Fast Forward Labs☆15Updated 6 years ago
- GBM multicore scaling: h2o, xgboost and lightgbm on multicore and multi-socket systems☆20Updated 7 years ago
- Code for PyData Talk on "Classifying Products Based on Images and Text using Keras"☆30Updated 8 years ago
- Modeling Social Data, Applied Mathematics, Columbia University (Spring 2015)☆33Updated 5 years ago
- ☆46Updated 2 months ago
- Fast, accurate, lightweight, multi-core ML in Python, leveraging Vowpal Wabbit☆21Updated 7 years ago
- Healthcare Twitter Analysis☆26Updated 9 years ago
- 💻 Material for a course on applied machine-learning for scientists. Taught at EPFL in spring 2017☆23Updated 8 years ago
- A curated list of gradient boosting machines (GBM) resources☆10Updated 6 years ago
- Notebooks containing R code from Richard McElreath's Statistical Rethinking☆72Updated 9 years ago
- Introduction to Scikit-Learn and Pandas☆16Updated 9 years ago