Explaining Machine Learning Models - Deep Dive

  • Get insider practical knowledge on how to get the best out of various model explainability techniques.


Created by Selva Prabhakaran

  • 11 Video Lessons

  • English

  • English captions

Validity Period: 365 days

Already Subscribed? Click here to access your courses

  •  Course Certificate
  • Code Walkthroughs
  • Practice Data
  • Money Back if not satisfied
  • Algorithms explanation
  • 2h 26m of Self-paced videos
  • Downloadable resources
  • Q&A sessions with experts

What you will learn

01

Understanding Model
Interpretability

02

Math behind Explainability
Techniques:SHAP, LIME,Tree
interpreter,PDP

03

Interpreting Complex Models

04

Which feature are harming
for your classification models

05

Identifying few vital
causes

06

Case studies and
Real-world applications with
full python workout

Course Curriculum

5 Modules      |    14 Sessions     |    2 hour 29 min Total Time  

label_important

Introduction to explainable AI

Sessions: 3 | Time: 23 min expand_more

label_important

SHAP Values

Sessions: 6 | Time: 56 min expand_more

label_important

Explainability Techniques - 2

Sessions: 3 | Time: 32 min expand_more

label_important

Applications of SHAP

Sessions: 1 | Time: 22 min expand_more

label_important

Finding Features harming your models

Sessions: 1 | Time: 16 min expand_more

Requirements

  • Courses Page1 Basic Maths and Logical Reasoning
  • Courses Page1 Curiosity about Data Science
  • Courses Page1 Learning Mindset

Who should attend this course?

  • Future Data Scientists and ML Engineers

  • Product Managers, Program Managers, Scrum Masters working in ML/Data science project

  • Software/Data engineers interested in quantitative analysis

  • Software engineers interfacing with data science team

  • Executives who have to lead or interact with Data Scientists

Instructor

Selva Prabhakaran Principal Data Scientist

My name is Selva, and I am super excited to mentor you on this project!
I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I’ve deployed 20+ global products. I’m also the Founder & Chief Author of Machine Learning Plus, which has over 4M annual readers.
I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I’ve put up the series of courses and projects with detailed explanations – just like an on the job experience. Hope you love it!
  • 4.5+Instructor rating

  • 200+ reviews

  • 10K+students

  • 15+ Courses

Validity Period: 365 days

Already Subscribed? Click here to access your courses

  •  Workshop Certificate
  • Code Walkthroughs
  • Practice Data
  • Money Back if not satisfied
  • Algorithms explanation
  • 2h 26m of Self-paced videos
  • Downloadable resources
  • Q&A sessions with experts