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Supervised Machine Learning with Tree Based Models

Instructor:

Mr. Bharani Akella
4.55
average rating

Ratings

Beginner

Level

3.0 Hrs

Learning hours

9.1K+
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Skills you’ll Learn

About this Course

We understand Machine Learning, a subset of Artificial Intelligence, as a computer being programmed with the ability to self-learn and improve itself on a particular task. Supervised Learning in Machine Learning allows one to produce or collect data based on previous experience. It helps one to optimize performance criteria using past experience and work on real-time computational problems. As making Decisions and finding insights from raw data is an essential part of Machine Learning, Tree-based classifiers are widely used for this purpose. Understanding the importance of tree-based classifiers, we have curated this course on tree-based classifiers, which will help you understand various types of supervised learning techniques, such as decision trees, random forests, and how to implement them in Python. The skills covered in this course are NumPy, Pandas, and Scikit Learn Library. 

Great Learning has collaborated with the best universities, such as the University of Texas at Austin and SRM Institute of Science and Technology, and created the top AI Courses in India. World-class professors have prepared a comprehensive and exhaustive curriculum to provide learners with a world-class education to develop advanced skills in the online AIML course. The learners will also receive personalized mentorship from industry experts who are working at top organizations.

Check out our PG Course in Machine learning Today.

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Course Outline

Introduction to Decision Tree
Demo for Decision Tree
Introduction to Random Forest
Demo for Random Forest

Our course instructor

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Mr. Bharani Akella

Data Scientist

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3.2M+ Learners
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82 Courses
Bharani has been working in the field of data science for the last 2 years. He has expertise in languages such as Python, R and Java. He also has expertise in the field of deep learning and has worked with deep learning frameworks such as Keras and TensorFlow. He has been in the technical content side from last 2 years and has taught numerous classes with respect to data science.

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4.55
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Supervised Machine Learning with Tree Based Models

3.0 Learning Hours . Beginner

Why upskill with us?

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700+ free courses
In-demand skills & tools
access time
Free life time Access