[2020] 12 Real World CaseStudies for Machine Learning

Online Course

Udemy
[2020] 12 Real World CaseStudies for Machine Learning

What is the course about?

[2020] 12 Real World CaseStudies for Machine Learning
The course [2020] 12 Real World CaseStudies for Machine Learning 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.

Master Machine Learning by getting your hands dirty on Real Life Case studies. Be A Kaggle and Industry Grandmaster.

Course description
  • [2020] 12 Real World CaseStudies for Machine Learning
  • Get Hand-on on the Application part of machine learning
  • Learn and Add Industry Case Studies to your Portfolio
  • Learn to Visualize and Do Exploratory data analysis on Complex real World datasets using Mayplotlib, Seaborn and Plotly
  • Learning Feature Engineering on Big and Complex Data sets
  • Learning Feature Selection on Big and Complex Data sets
  • Basics of Machine Learning
  • Python Programming
  • Jupyter Notebook
  • 11.5 hours on-demand video
  • 2 articles
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Cosmic .

Prerequisites & Facts

[2020] 12 Real World CaseStudies for Machine Learning

Course Topic

Development, ECMAscript, Web 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

[2020] 12 Real World CaseStudies for Machine Learning

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
[2020] 12 Real World CaseStudies for Machine Learning
provided by Udemy

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School: Udemy
Topic: Data Science, Development, Machine Learning