Machine Learning Practical: 6 Real-World Applications | Udemy

Link : Machine Learning Practical: 6 Real-World Applications | Udemy

Machine Learning - Get Your Hands Dirty by Solving Real Industry Challenges with Python.

Machine Learning Practical: 6 Real-World Applications | Udemy
4.3 (772 ratings)
6,995 students enrolled
Created by Kirill Eremenko, Hadelin de Ponteves, Dr. Ryan Ahmed, Ph.D., MBA, SuperDataScience Team, Rony Sulca

What you'll learn


  • You will know how real data science project looks like
  • You will be able to include these Case Studies in your resume
  • You will be able better market yourself as a Machine Learning Practioneer
  • You will feel confident during Data Science interview
  • You will learn how to chain multiple ML algorithms together to achieve the goal
  • You will learn most advanced Data Visualization techniques with Seaborn and Matplotlib
  • You will learn Logistic Regression
  • You will learn L1 Regularization (Lasso)
  • You will learn Random Forest Classifier

Requirements


  • You need to know Python (Machine Learning A-Z level is enough) in order to complete this course.
  • You need to know how to set up your working environment (Anaconda, Jupyter Notebook, Spyder)
  • This should not be your first Machine Learning course. You need to understand main concepts.

So you know the theory of Machine Learning and know how to create your first algorithms. Now what?

There are tons of courses out there about the underlying theory of Machine Learning which don’t go any deeper – into the applications.


This course is not one of them.

Are you ready to apply all of the theory and knowledge to real life Machine Learning challenges?

Then welcome to “Machine Learning Practical”.



We gathered best industry professionals with tons of completed projects behind.

Each presenter has a unique style, which is determined by his experience, and like in a real world, you will need adjust to it if you want successfully complete this course. We will leave no one behind!

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