mattharrison / effective_xgboost_bookLinks
☆286Updated 2 years ago
Alternatives and similar repositories for effective_xgboost_book
Users that are interested in effective_xgboost_book are comparing it to the libraries listed below
Sorting:
- Forecasting: principles and practice in python☆180Updated 2 years ago
- Forecasting: Principles and Practice☆60Updated 4 years ago
- An example of a project for doing data work in Python using notebooks but also placing code in Python files and testing them☆100Updated last year
- The repository to showcase the best framework for tabular data - the Awesome CatBoost☆259Updated last week
- A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.☆168Updated 11 months ago
- ☆110Updated 2 years ago
- Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit☆129Updated last year
- Materials for the AI Dev 2024 conference workshop "Deploy and Monitor ML Pipelines with Python, Open Source, and Free Applications"☆94Updated this week
- Slides for "Feature engineering for time series forecasting" talk☆61Updated 2 years ago
- Tutorials for the Hopsworks Platform☆301Updated last week
- The Orange Book of Machine Learning☆47Updated 5 months ago
- Python-centered read-along of Forecasting: Principles and Practice☆507Updated 11 months ago
- Tools to Transform a Time Series into Features and Target a.k.a Supervised Learning☆103Updated 2 years ago
- Forecasting lectures and tutorials using Python☆126Updated 7 years ago
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆211Updated 3 months ago
- Examples of python neural net and ML stock prediction methods with sample stock data.☆272Updated 8 months ago
- Compendium of free ML reading resources☆383Updated this week
- Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.☆134Updated 2 years ago
- Tutorials on creating a reproducible and maintainable data science project☆146Updated 3 years ago
- Interpretable ML with Python, 2E - published by Packt☆98Updated 3 months ago
- Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)☆145Updated 2 years ago
- Errata and code for Effective Pandas book☆365Updated 2 years ago
- Modern Time Series Forecasting with Python, published by Packt☆529Updated 3 months ago
- Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.☆131Updated last year
- ☆24Updated 2 years ago
- Practical Guide to Applied Conformal Prediction, published by Packt☆187Updated 3 months ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆102Updated 2 years ago
- Code repository for the online course "Feature Engineering for Time Series Forecasting".☆188Updated last year
- This repository contains everything you need to become proficient in Time Series Analysis and Forecasting☆322Updated last year
- Kaggle Pipeline for tabular data competitions☆207Updated last year