mattharrison / effective_xgboost_bookLinks
☆292Updated 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:
- The repository to showcase the best framework for tabular data - the Awesome CatBoost☆279Updated 4 months ago
- An example of a project for doing data work in Python using notebooks but also placing code in Python files and testing them☆101Updated 2 years ago
- Forecasting: Principles and Practice☆61Updated 4 years ago
- Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit☆129Updated last year
- ☆109Updated 2 years ago
- Forecasting: principles and practice in python☆199Updated 2 years ago
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆216Updated last week
- A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.☆169Updated last year
- Tools to Transform a Time Series into Features and Target a.k.a Supervised Learning☆108Updated 2 years ago
- Materials for the AI Dev 2024 conference workshop "Deploy and Monitor ML Pipelines with Python, Open Source, and Free Applications"☆93Updated last week
- Slides for "Feature engineering for time series forecasting" talk☆63Updated 3 years ago
- This repository contains everything you need to become proficient in Time Series Analysis and Forecasting☆321Updated last year
- Practical Guide to Applied Conformal Prediction, published by Packt☆193Updated last month
- Examples of python neural net and ML stock prediction methods with sample stock data.☆270Updated last year
- Python-centered read-along of Forecasting: Principles and Practice☆511Updated 3 months ago
- Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)☆146Updated 2 years ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆104Updated 2 years ago
- Compendium of free ML reading resources☆477Updated last month
- Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.☆133Updated 2 years ago
- The Orange Book of Machine Learning☆52Updated 3 months ago
- Kaggle Pipeline for tabular data competitions☆205Updated last year
- A tutorial for setting an SQL code generator with the OpenAI API☆246Updated last year
- A tutorial for setting a new machine with core data science tools☆295Updated 11 months ago
- Tutorials for the Hopsworks Platform☆308Updated 2 months ago
- Interpretable ML with Python, 2E - published by Packt☆105Updated last month
- Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.☆227Updated last year
- Applied Machine Learning Explainability Techniques, published by Packt☆246Updated last week
- Tutorials on creating a reproducible and maintainable data science project☆150Updated 3 years ago
- Modern Time Series Forecasting with Python, published by Packt☆544Updated last week
- Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.☆135Updated 2 years ago