Module presentation

In this module, we are going to see an introduction to supervised machine learning using Python programming language. This is the introductory module of Supervised Machine Learning training path.

What will I learn with this module?

Completing this module you will learn the basic principles of Supervised Machine Learning, the difference between regression and classification models, what overfitting and underfitting are and how to avoid them. Then, you are going to learn how to use Jupyter notebooks for data science and how Sklearn can be used.

Who is this module for?

This module has been made for:

  • aspiring, junior and senior data scientists
  • machine learning engineers
  • data analysts
  • researchers
  • students
  • everybody who is interested in machine learning and data science

What will I get once I enroll in the module?

After you join the module, you'll have complete access to the video lessons of this module and you'll be able to start discussions with the teacher and the other students using the comment section under every lesson.

Your Instructor

My name is Gianluca Malato, I'm Italian and have a Master's Degree cum laude in Theoretical Physics of disordered systems at "La Sapienza" University of Rome.

I'm a Data Scientist who has been working for years in the banking and insurance sector. I have extensive experience in software programming and project management and I have been dealing with data analysis and machine learning in the corporate environment for several years.

I am also skilled in data analysis (e.g. relational databases and SQL language), numerical algorithms (e.g. ODE integration, optimization algorithtms) and simulation (e.g. Monte Carlo techniques).

I've written many articles about Machine Learning, R and Python and I've been a Top Writer on in Artificial Intelligence category.

Module contents

Frequently Asked Questions

Does the module have a start and a finish date?

No. Once you enroll, you can follow the recorded video lessons when you want.

How can I follow the lessons?

Once you pay for your enrollment, you can access the recorded video lessons of the module when you want from your computer using this website. These videos are given in streaming, so you'll need to connect to this website and have an Internet connection in order to watch them. After you create your account and log in, you can use the My Courses link in top of every page to see all the courses you have enrolled in.

I don't know anything about machine learning. Can I access the module?

Sure. As soon as you can ensure the prerequisites, you can follow this module.

What language will be used?

During this module, the spoken and written language is English.

Join the course