Machine Learning Real World projects in Python

Machine Learning Real World projects in Python

Build a Portfolio/Resume of Machine Learning projects in Python and get a job of Data Scientist/ ML Engineer



Sub Category

  • Data Science

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Objectives

  • Machine Learning Engineers earn on average $164,000 - become Job Ready ML Engineer with this course!
  • Go from zero to hero in Entire Pipeline of Machine learning from Data Collection to building a Machine Learning Model
  • Solve any problem in your business, job or in real-time with powerful Machine Learning algorithms
  • Mathematics behind All Machine Learning algos ( Linear Regression , logistic , Decision Tree , Ensemble algos , KNN , Naive Bayes & many more !
  • Various Feature selection Techniques & how to apply it in Real-World
  • How to Approach a problem in Real-world..
  • Case studies


Pre Requisites

  1. Basic knowledge of Python programming is recommended.


FAQ

  • Q. How long do I have access to the course materials?
    • A. You can view and review the lecture materials indefinitely, like an on-demand channel.
  • Q. Can I take my courses with me wherever I go?
    • A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!



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Coupon Code(s)

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