thomasjpfan / pydata-2019-histgradientboostingLinks
☆12Updated 5 years ago
Alternatives and similar repositories for pydata-2019-histgradientboosting
Users that are interested in pydata-2019-histgradientboosting are comparing it to the libraries listed below
Sorting:
- Comparing Polars to Pandas and a small introduction☆44Updated 4 years ago
- Talks about vaex☆36Updated 2 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆25Updated 5 years ago
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆84Updated last year
- Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking☆55Updated 3 years ago
- Python package for Bayesian Tests / AB Testing☆40Updated 4 years ago
- Interactive cleaning for Pandas DataFrames☆15Updated 5 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 3 years ago
- ☆30Updated 7 years ago
- An abstraction layer for parameter tuning☆35Updated 9 months ago
- Tutorial for PyData London 2019 on AB Test by cluster☆13Updated 5 years ago
- Collection of IPython Notebooks☆18Updated 7 years ago
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 2 years ago
- ☆15Updated 2 years ago
- Python package for Bayesian & Frequentist A/B Testing☆12Updated last year
- Experimental library for sampling and validating scikit-learn parameters☆10Updated 6 years ago
- forecasting examples using Facebook Prophet☆64Updated 4 years ago
- Set-oriented Operations in Pandas☆24Updated 5 years ago
- Learning statistics with Python☆53Updated 4 years ago
- A Jupyter Notebook I made to try out dask's Dataframes☆27Updated 6 years ago
- Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-struc…☆73Updated 3 years ago
- Study notes and demos.☆12Updated last year
- Universal 1d/2d data containers with Transformers functionality for data analysis.☆26Updated 3 years ago
- ☆29Updated 5 years ago
- This script pulls the gasoline price time series (from the EIA), and performs unsupervised time series anomaly detection using a variety …☆12Updated 5 years ago
- ☆15Updated 6 years ago
- Embed categorical variables via neural networks.☆59Updated 2 years ago
- Companion Notebooks and Data for Data Science with Python and Dask from Manning Publications☆52Updated 4 years ago
- Better `keras` models for time series and beyond☆61Updated last year
- ☆39Updated 6 years ago