Online workshop – Feature importance using SHAP – September 2021

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Workshop presentation

In this workshop, SHAP technique for calculating feature importance in supervised machine learning is presented both in theory and in practice using Python programming language.

This workshop will cover these topics:

  1. What is SHAP?
  2. How to calculate SHAP with tree-based models
  3. How to calculate SHAP with every model

This workshop will be given remotely and streaming using LiveWebinar platform, which works on every updated internet browser. No installation is then required.

The duration is about 60 minutes.

The speaker will show some slides for the theoretical part of the content and will write code during the event using Google Colaboratory for the practical part.

Participants can engage with the teacher and the other students using the online chat function near the video on the event page.

The source code written by the speaker will be given to the participants.

The speaker

The speaker is Gianluca Malato, founder of Your Data Teacher.

Gianluca Malato was born in Italy and has a Master’s Degree cum laude in Theoretical Physics of disordered systems at “La Sapienza” University of Rome. He’s a Data Scientist who has been working for years in the banking and insurance sector. He has extensive experience in software programming and project management and has been dealing with data analysis and machine learning in the corporate environment for several years. He is 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). He has written many articles about Machine Learning, R and Python and has been a Top Writer on Medium.com in Artificial Intelligence category.

Testimonials

Haida Belen Bazurto Peñafiel

⭐⭐⭐⭐⭐

I was a very pleasant webinar and rich in knowledge which i did not know. I am very thankful with you.

Kerim Mašović

⭐⭐⭐⭐⭐

Good webinar. Lot of useful information, teacher was patient to explain everything even for a couple of times.

Vito Manuguerra

⭐⭐⭐⭐⭐

Clear presentation and goes straight to the point without mincing words or overly theoretical discussions that only make you lose the thread of the discussion

Jehu Emmanuel U. Baldago

⭐⭐⭐⭐⭐

Even though I don’t have a background about machine learning, I have learned some concepts that I might use in the future. Hopefully I can join you again.

Antonio Martinko

⭐⭐⭐⭐⭐

I would refer my coworkers to these webinars because of the relevance and quality that is presented. Everything that was said is relevant to my work as a PhD student and assistant at the university that is trying to publish more quality research.

Zerina Ahmetović

⭐⭐⭐⭐⭐

Excellent teacher! Brief, concise and practical, the webinar was easy to follow. Great atmosphere and teacher was eager to answer every question that came up.

Nathanya Queby Satriani

⭐⭐⭐⭐⭐

As someone who’s majoring in AI, I thought I already had a decent understanding of machine learning but I still learned so many new things in the workshop. I also love the platform that Gianluca used to present his webinars.

Hermie Mae L. Junsay

⭐⭐⭐⭐⭐

It was a nice experience and I like how our teacher explains. Thank you for a great experience!

Karen Joy S. Vigilancia

⭐⭐⭐⭐⭐

This is a great opportunity. I got a lot of gained in an hour. And, thanks for answering my question. Thank you very much! ☺️☺️

Mary Ann Jennifer Afaga

⭐⭐⭐⭐⭐

This is the second time attending the webinar. I learned a lot from machine learning and coding which helps me in teaching students and also gaining knowledge from it. May you offer more webinars in the future.

I was a very pleasant webinar and rich in knowledge which i did not know. I am very thankful with you.

Haida Belen Bazurto Peñafiel

Good webinar. Lot of useful information, teacher was patient to explain everything even for a couple of times.

Kerim Mašović

Clear presentation and goes straight to the point without mincing words or overly theoretical discussions that only make you lose the thread of the discussion

Vito Manuguerra

Excellent teacher! Brief, concise and practical, the webinar was easy to follow. Great atmosphere and teacher was eager to answer every question that came up.

Zerina Ahmetović

This is a great opportunity. I got a lot of gained in an hour. And, thanks for answering my question. Thank you very much! ☺️☺️

Karen Joy S. Vigilancia

It was a nice experience and I like how our teacher explains. Thank you for a great experience!

Hermie Mae L. Junsay

Please note

  • The event runs for about 60 minutes
  • Participants must register for the event using the form. Every participant will receive a confirmation e-mail with a unique link inside it to attend the event. This link can be used only by the student that has received it.
  • Every participant will receive an e-mail reminder 1 week before, 1 day before, 1 hour before the event starts.
  • Participants can engage with the teacher and the other students using the online chat function near the video on the event page. Please make sure to use a name you agree to make visible to the other users
  • At the end of the event, a paid product of the teacher’s is presented
  • At the end of the event, a short survey is given to the participants. Those who answer to the survey will receive a certificate of attendance of the webinar via e-mail
  • The event (including the live chat with the names of the participants and their messages) will be recorded, the recording will be published on YouTube and other social media platforms and will be sent to all the registered attendees

What will I get once I join the workshop?

Registered attendees will get:

  1. Access to the workshop according to the time schedule
  2. The source code written by the speaker during the event
  3. The recording of the event
  4. Attendance certificate in PDF format if you attend the entire live session of the workshop

Date

22 Sep 2021

Time

GMT+2
19:00

Local Time

  • Timezone: America/New_York
  • Date: 22 Sep 2021
  • Time: 13:00

Cost

Free

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