Introduction To Machine Learning With Python

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  • Author: Luca Arrotta
  • Level: Beginner
  • Study time: 3-5 hours
  • Video time: 1.2 hours
  • Exams: 1
Course overview
The Marktechpost "Introduction to Machine Learning with Python" course presents the main differences between existing machine learning methods. Hence, you will learn how to leverage very commonly used machine learning libraries and to develop your first machine learning pipeline.
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Certification included
After completing lecture videos and the quiz with a minimum score of 75% correct, you will be able to download your training completion certificate.

Luca Arrotta

Machine Learning Researcher (Italy)
ABOUT THE INSTRUCTOR
Luca is Ph.D. student at the Department of Computer Science of the University of Milan. His interests are Machine Learning, Data Analysis, IoT, Mobile Programming, and Indoor Positioning. His research currently focuses on Pervasive Computing, Context-awareness, Explainable AI, and Human Activity Recognition in smart environments.
What you are going to learn

A few more words about this course

"Introduction to Machine Learning with Python" course presents the main differences between existing machine learning methods. Hence, you will learn how to leverage very commonly used machine learning libraries and to develop your first machine learning pipeline.
Throughout this course you will learn:

  • Introduction to machine learning
  • Python: Numpy, Pandas
  • Visualization Tools: Matplotlib and Seaborn
  • Other libraries: SciPy, Scikit-Learn, Keras
  • ML Pipeline 
  • Lab ML Pipeline (Python notebook provided)
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