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Machine Learning Practical: 6 Real-World Applications

Machine Learning Practical: 6 Real-World Applications

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

Udemy Course by Kirill Eremenko, Hadelin de Ponteves, Dr. Ryan Ahmed, Ph.D., MBA, SuperDataScience Team, Rony Sulca | 8.5 hours on-demand video

This course will demystify how real Data Science project looks like. Time to move away from these polished examples which are only introducing you to the matter, but not giving any real experience. If you are still dreaming where to learn Machine Learning through practice, where to take real-life projects for your CV, how to not look like a noob in the recruiter’s eyes, then you came to the right place! This course provides a hands-on approach to real-life challenges and covers exactly what you need to succeed in the real world of Data Science.

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

Most Recommended Machine Learning Course

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Deep Learning and Machine Learning Practical Workout

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