Price: $49.99
(as of Dec 24,2024 13:15:51 UTC – Details)
Publisher : Packt Publishing (September 29, 2023)
Language : English
Paperback : 252 pages
ISBN-10 : 1800564740
ISBN-13 : 978-1800564749
Item Weight : 15.8 ounces
Dimensions : 9.25 x 7.52 x 0.53 inches
Machine Learning with LightGBM and Python: A practitioner’s guide to developing production-ready machine learning systems
In this post, we will discuss how to use LightGBM, a powerful gradient boosting framework, in Python to develop production-ready machine learning systems. LightGBM is known for its fast training speed and high efficiency, making it a popular choice for many data scientists and machine learning practitioners.
To start with, we will cover the basics of LightGBM, including its key features and advantages over other machine learning algorithms. We will then walk through a step-by-step guide on how to implement LightGBM in Python, from data preprocessing to model evaluation.
Next, we will delve into best practices for tuning hyperparameters and optimizing model performance. We will also discuss how to handle imbalanced datasets, interpret model results, and deploy the trained model to production.
Throughout the post, we will provide code snippets and examples to help you better understand how to use LightGBM effectively in your machine learning projects. By the end of this guide, you will have the knowledge and skills to develop production-ready machine learning systems using LightGBM and Python.
So, if you are looking to enhance your machine learning skills and build robust and efficient models, stay tuned for our comprehensive guide on Machine Learning with LightGBM and Python.
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