EmilHvitfeldt / feature-engineering-az
Source for book "Feature Engineering A-Z"
☆83Updated last week
Related projects: ⓘ
- Website sources for Applied Machine Learning for Tabular Data☆125Updated last week
- Resources for Survival Analysis☆84Updated last week
- Resources for some of our education content☆25Updated 2 weeks ago
- ☆64Updated last year
- Despite the popular yet wrong claim that logistic regression "is not a regression", it's one of the key regression and hypothesis testing…☆24Updated 3 months ago
- Applied Time Series Analysis and Forecasting☆166Updated last year
- summarytools in jupyter notebook☆81Updated 3 weeks ago
- A Pythonic microframework for multi-armed bandit problems☆84Updated last month
- ☆70Updated 4 months ago
- Materials for the useR!2024 conference workshop "Deploy and Monitor ML Pipelines with R, Open Source, and Free Applications"☆44Updated this week
- A grammar of data manipulation for pandas inspired by tidyverse☆89Updated 6 months ago
- Testing hypotheses through statistical models opens a universe of new possibilities. Learn how to improve your daily work with this appro…☆66Updated 11 months ago
- Version, share, deploy, and monitor models.☆60Updated 3 weeks ago
- Materials for the AI Dev 2024 conference workshop "Deploy and Monitor ML Pipelines with Python, Open Source, and Free Applications"☆87Updated this week
- ☆127Updated this week
- Python for Data Science. This repository hosts the code behind the online book that teaches you how to use Python for data science.☆121Updated 8 months ago
- Example for ETL process with R, Docker, and Github Actions (WIP...).☆25Updated last year
- Scripts and datasets for the O'Reilly book Python Polars: The Definitive Guide☆72Updated 3 months ago
- A guide for deploying Shinylive Python application into Github Pages☆133Updated 8 months ago
- A Python package with explanation methods for extraction of feature interactions from predictive models☆26Updated 10 months ago
- The Tidymodels Extension for Time Series Boosting Models☆56Updated 2 years ago
- Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.☆41Updated 8 months ago
- A book on DevOps for Data Scientists with CRC Press.☆131Updated last month
- List of resources coming out of Normconf Slack☆76Updated last year
- Forecasting: Principles and Practice☆30Updated 3 years ago
- ☆107Updated 4 months ago
- Forecast the US demand for electricity☆98Updated 2 years ago
- A tutorial for setting a new machine with core data science tools☆262Updated last year
- 📒 The MLOps stack component for experiment tracking (R interface)☆14Updated 11 months ago
- Course materials for our "Getting Started with NLP and spaCy" course at Talk Python☆28Updated 4 months ago