EmilHvitfeldt / feature-engineering-azLinks
Source for book "Feature Engineering A-Z"
☆151Updated 2 weeks ago
Alternatives and similar repositories for feature-engineering-az
Users that are interested in feature-engineering-az are comparing it to the libraries listed below
Sorting:
- Testing hypotheses through statistical models opens a universe of new possibilities. Learn how to improve your daily work with this appro…☆84Updated 2 years ago
- Applied Time Series Analysis and Forecasting☆169Updated 2 years ago
- Resources for Survival Analysis☆98Updated 4 months ago
- Website sources for Applied Machine Learning for Tabular Data☆152Updated this week
- ☆88Updated last year
- ☆63Updated 11 months ago
- Despite the popular yet wrong claim that logistic regression "is not a regression", it's one of the key regression and hypothesis testing…☆29Updated 7 months ago
- A tutorial for setting a new machine with core data science tools☆295Updated 10 months ago
- Python for Data Science. This repository hosts the code behind the online book that teaches you how to use Python for data science.☆153Updated 2 months ago
- This is the repository for the Python library mlsynth☆55Updated this week
- Materials for the useR!2024 conference workshop "Deploy and Monitor ML Pipelines with R, Open Source, and Free Applications"☆57Updated this week
- Slides to accompany Forecasting: Principles and Practice, 3rd edition☆75Updated last year
- Methods and tools for multistep-ahead time series conformal prediction.☆42Updated last month
- All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (3rd ed, 2020) by Rob J Hyndman …☆150Updated 2 months ago
- Supplemental R Examples on Applied Conformal Prediction. These examples follow Practical Guide to Applied Conformal Prediction in Python,…☆43Updated last year
- Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference☆60Updated this week
- ☆33Updated last year
- Materials for the Deploy and Monitor ML Pipelines with Python, Docker and GitHub Actions workshop at the PyData NYC 2024 conference☆80Updated this week
- A Python package with explanation methods for extraction of feature interactions from predictive models☆32Updated 2 years ago
- Materials for the AI Dev 2024 conference workshop "Deploy and Monitor ML Pipelines with Python, Open Source, and Free Applications"☆93Updated this week
- Deploying flexdashboard on Github Pages with Docker and Github Actions☆215Updated last year
- R SDK for TimeGPT☆41Updated 9 months ago
- (WIP) Getting started with Docker - An introduction to Docker with data science and engineering applications☆128Updated 2 years ago
- ☆87Updated last week
- A guide for deploying Shinylive Python application into Github Pages☆135Updated last year
- Forecasting: principles and practice in python☆196Updated 2 years ago
- The Orange Book of Machine Learning☆50Updated 2 months ago
- Forecast the US demand for electricity☆100Updated 3 years ago
- StatsResourcesHub: Your go-to repository for all things statistics and programming. Find tutorials, code samples, and tips in Python, R,…☆58Updated last year
- The Tidymodels Extension for Time Series Boosting Models☆58Updated 3 years ago