Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included.
Course will be gifted to email you provide.
Certificate included after completion of course
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Not a cracked file from torrent or somewhere, direct from Udemy.
What you’ll learn
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Master Machine Learning on Python & R
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Have a great intuition of many Machine Learning models
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To Make accurate predictions
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Make powerful analysis
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Design robust Machine Learning models
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Create strong added value to your business
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Use Machine Learning for personal purpose
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Handle specific topics like Reinforcement Learning, NLP and Deep Learning
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Handle advanced techniques like Dimensionality Reduction
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Know which Machine Learning model to choose for each type of problem
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Build an army of powerful Machine Learning models and know how to combine them to solve any problem
Requirements
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Just some high school mathematics level.
Description
Interested in the field of Machine Learning? Then this course is for you!
This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms, and coding libraries in a simple way.
We will walk you step-by-step into the World of Machine Learning. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.
Moreover, the course is packed with practical exercises that are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models.
And as a bonus, this course includes both Python and R code templates which you can download and use on your own projects.
Important updates (June 2020):
- CODES ALL UP TO DATE
- DEEP LEARNING CODED IN TENSORFLOW 2.0
- TOP GRADIENT BOOSTING MODELS INCLUDING XGBOOST AND EVEN CATBOOST!
Who this course is for:
- Anyone interested in Machine Learning.
- Students who have at least high school knowledge in math and who want to start learning Machine Learning.
- Intermediate level people who know the basics of machine learning, including the classical algorithms like linear regression or logistic regression, but who want to learn more about it and explore all the different fields of Machine Learning.
- Students in college who want to start a career in Data Science.
- Data analysts who want to level up in Machine Learning.
Course Instructor
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4.5 Instructor Rating
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565,305 Reviews
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2,092,623 Students
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60 Courses
My name is Kirill Eremenko and I am super-psyched that you are reading this!
From my courses you will straight away notice how I combine my real-life experience and academic background in Physics and Mathematics to deliver professional step-by-step coaching in the space of Data Science. One of the strongest sides of my teaching style is that I focus on intuitive explanations, so you can be sure that you will truly understand even the most complex topics.
To sum up, I am absolutely and utterly passionate about Data Science and I am looking forward to sharing my passion and knowledge with you!
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