PacktPublishing / XGBoost-for-Regression-Predictive-Modeling-and-Time-Series-AnalysisLinks
XGBoost for Regression Predictive Modeling and Time Series Analysis, published by Packt
☆28Updated 3 weeks ago
Alternatives and similar repositories for XGBoost-for-Regression-Predictive-Modeling-and-Time-Series-Analysis
Users that are interested in XGBoost-for-Regression-Predictive-Modeling-and-Time-Series-Analysis are comparing it to the libraries listed below
Sorting:
- Time Series Analysis with Python Cookbook, Second Edition - Published by Packt☆38Updated last month
- Official repository for the book Time Series Forecasting with Foundation Models☆23Updated last month
- Accelerate Deep Learning Workloads with Amazon SageMaker, published by Packt☆17Updated last year
- Python Feature Engineering Cookbook, Third Edition, published by Packt☆55Updated 3 weeks ago
- Awesome list and projects of Time Series☆29Updated last year
- Code Repository for The Kaggle Book 2nd Edition, Published by Packt☆11Updated 2 weeks ago
- The Regularization Cookbook, published by Packt☆13Updated 4 months ago
- An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.☆16Updated 2 years ago
- Code repository for the book Feature engineering with Feature-engine☆14Updated last year
- Data Cleaning and Exploration with Machine Learning☆53Updated 2 years ago
- Data Labeling in Machine Learning with Python, by Packt Publishing☆17Updated last year
- ☆17Updated 8 months ago
- Operations Research Algorithms☆17Updated last year
- Code repository for the online course Machine Learning Interpretability☆26Updated 7 months ago
- Enhancing Deep Learning with Bayesian Inference, published by Packt☆38Updated 8 months ago
- Modern AI Agents☆15Updated last week
- Data Science, Analytics & AI for Business & the Real World™, published by Packt☆34Updated 2 years ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆103Updated 2 years ago
- Data Augmentation with Python, published by Packt☆37Updated 7 months ago
- B21145 - Deep Learning for Time Series Data Cookbook☆57Updated 3 weeks ago
- Code Repository for Mastering Unsupervised learning with Python, Published by Packt☆27Updated 2 years ago
- This is the code repo for the O'Reilly book "Data Science: The Hard Parts"☆14Updated last year
- Machine Learning Data Fairness and Bias☆13Updated this week
- Machine Learning Model Serving Patterns and Best Practices☆35Updated last year
- Building Statistical Models in Python, Published by Packt☆31Updated 3 weeks ago
- pandas, numpy, matplotlib, data-wrangling☆29Updated 2 years ago
- Essential PySpark for Scalable Data Analytics, published by Packt☆45Updated 2 years ago
- Repository for GH public projects☆18Updated last year
- A pipeline to detect data drift and retrain the model when there is drift☆23Updated last year
- GitHub repository for deep forecasting courses owned and maintained by prof. Jahangiry☆30Updated last month