- Published on May 7, 2020
- In Deep Tech
A Hands-on Guide To Hybrid Ensemble Learning Models, With Python Code
In this article, we will show a heterogeneous collection of weak learners to build a hybrid ensemble learning model. Different types of machine learning algorithms are grouped together in this task to work on a classification problem. We will show the performance of individual weak learning models and then the performance of our hybrid ensemble model.
- By Dr. Vaibhav Kumar
Ensemble learning techniques have a long record of showing better performance in a variety of machine learning applications. The domains of these applications include classification and regression problems. Random forest model and gradient boosting model are well-known ensemble models where they use a combination of weak learners to build up an ensemble. In these models, the collection of weak learners is homogeneous that means the same types of weak learners are grouped together to show their combined strength. In this article, we will show a heterogeneous collection of weak learners to build a hybrid ensemble learning model. Different types of machine learning algorithms are grouped together in this task to work on a classification problem. We will show the performance of individual weak
📣 Want to advertise in AIM? Book here
Dr. Vaibhav Kumar
Dr. Vaibhav Kumar is a seasoned data science professional with great exposure to machine learning and deep learning. He has good exposure to research, where he has published several research papers in reputed international journals and presented papers at reputed international conferences. He has worked across industry and academia and has led many research and development projects in AI and machine learning. Along with his current role, he has also been associated with many reputed research labs and universities where he contributes as visiting researcher and professor.
Related Posts
Building an AI Economy That Includes Everyone
“What we’re seeing is that accessibility-driven design often solves a broader problem. It’s not charity. It’s engineering.”
Top 10 Companies That Crowned Hyderabad as India’s Greenfield GCC Leader in 2025
Telangana has attracted over 75 greenfield GCCs in 2025, compared with 40-plus in Karnataka.
The AI Coding Gold Rush Ends Where Harness Begins
“Only 30% of software engineering happens on the laptop. The real 70% starts after you commit the code,” says Jyoti
How Gradient-Boosting is Quietly Powering India’s Research Push
From groundwater and slopes to carbon sinks, tools like CatBoost are enabling Indian scientists to extract insights and drive sustainability.
India’s Data Centre Boom Is Running Into a Talent Wall
With capacity expected to more than double this decade, the industry is investing in training as graduates struggle to meet
This Firm Wants to be the ‘Next Big Disruptor’ in Networking
Arrcus positions itself as a horizontal software layer that can run across different types of networking hardware.
Will 2026 be the year of AI IPOs?
With CoreWeave’s listing and Fractal Analytics going for an IPO, an array of AI companies are now looking to raise
Fighting Deepfakes May Not Be a Technology Problem
Defenders must be active at all times, while attackers need only one opportunity.
Download the easiest way to
stay informed
stay informed
