Machine Learning : Random Forest with Python from Scratch©

Online Course

Udemy
Machine Learning : Random Forest with Python from Scratch©

What is the course about?

Machine Learning : Random Forest with Python from Scratch©
The course Machine Learning : Random Forest with Python from Scratch© is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

The Complet Decision Tree & Random Course from Scratch with Python, NumPy, Pandas, Matplotlib, Scikit-Learn and more

Course description
  • Machine Learning : Random Forest with Python from Scratch©
  • Random forest with sk-learn
  • Random forest from absolute scratch
  • Learn to use Matplotlib for Python Plotting
  • Use SciKit-Learn for Random Forest using titanic data set
  • Learn and implement concepts like structure of forest, impurity, information gain, Partitions, leaf nodes, decision nodes using python
  • No prior knowledge or experience needed. Only a passion to be successful!
  • 8.5 hours on-demand video
  • 3 articles
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • AI Sciences

Prerequisites & Facts

Machine Learning : Random Forest with Python from Scratch©

Course Topic

Data Science, Decision Trees, Development

University, College, Institution

Udemy

Course Skill Level

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

Degree & Cost

Machine Learning : Random Forest with Python from Scratch©

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Udemy
Machine Learning : Random Forest with Python from Scratch©
provided by Udemy

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School: Udemy
Topic: Data Science, Decision Trees, Development