Decision Trees for Machine Learning

Free Download Udemy Decision Trees for Machine Learning. With the help of this course you can Learn to build decision trees for applied machine learning from scratch in Python..

This course was created by Sefik Ilkin Serengil. It was rated 4.8 out of 5 by approx 13499 ratings. There are approx 21501 users enrolled with this course, so don’t wait to download yours now. This course also includes 2 hours on-demand video, 1 Downloadable Resource, Full lifetime access, Access on mobile and TV, Assignments & Certificate of Completion.

What Will You Learn?

  • The most common decision tree algorithms

  • Understand the core idea behind decision trees

  • Developing code from scratch

  • Applying ML for practical problems

Decision trees are one of the hottest topics in Machine Learning. They dominate many Kaggle competitions nowadays. Empower yourself for challenges.

This course covers both fundamentals of decision tree algorithms such as ID3, C4.5, CART, Regression Trees and its hands-on practical applications. We will create our own decision tree framework from scratch in Python. Meanwhile, step by step exercises guide you to understand concepts clearly.

This course appeals to ones who interested in Machine Learning, Data Science and Data Mining.

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Note: We have purchased this course/tutorial from Udemy and we’re sharing the download link with you for absolutely FREE. So you can learn & be your own master if you can’t afford to buy this course. But if you have money we strongly suggest you to buy Decision Trees for Machine Learning course/tutorial from Udemy. So, the course’s author Sefik Ilkin Serengil can help you if you can’t understand something or if you want to learn something spectacular.

Free Download Udemy’s Decision Trees for Machine Learning

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