Machine Learning Practical 6 Real-World Applications

Machine Learning Practical 6 Real-World Applications

Machine Learning Practical 6 Real-World Applications Free Download. Machine Learning – Get Your Hands Dirty by Solving Real Industry Challenges with Python

Machine Learning Practical 6 Real-World Applications Description

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.

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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

Who this course is for:

  • Data Science and Machine Learning enthusiasts who want to understand how real data science projects look like.
  • Anyone with Machine Learning and Python knowledge who wants to practice their skills

Machine Learning Practical 6 Real-World Applications Free Download

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Content From: https://www.udemy.com/course/machine-learning-practical/

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