Explaining Machine Learning Models - Deep Dive

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

Prabhakaran SPrincipal Data Scientist

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Included in All-Access, one membership for every course.

Lessons: 14, in 5 chapters
Video: 2 h 27 min
Certificate: On completion

What you'll be able to do

Understanding Model Interpretability
Math behind Explainability techniques: SHAP, LIME, Tree Interpreter, PDP
Interpreting Complex Models
Which features are harming for your classification models
Identifying few vital causes
Case Studies and Real-world Applications with full python workout

Course content

5 chapters · 14 lessons · 2 h 27 min

01Introduction to explainable AI3 lessons · 23 min
1. Interpretability vs Explainability10:00
2. Download Resources1:00
3. Estimating contributions from Linear Regression Models12:00
02SHAP Values6 lessons · 56 min
1. SHAP values workout7:00
2. Math behind SHAP Values17:00
3. SHAP main plots20:00
4. SHAP Dependence Plot8:00
5. SHAP feature importance Response3:00
6. Course Review1:00
03Explainability Techniques - 23 lessons · 32 min
1. Partial Dependence Plots (PDP)15:00
2. Individual Conditional Expectations Plot (ICE)4:00
3. Tree Interpreter13:00
04Applications of SHAP1 lesson · 22 min
1. Identifying the top root causes22:00
05Finding Features harming your models1 lesson · 16 min
1. Detecting Damaging Features Regression16:00

What you need

Basics of Python
Foundational knowledge of Data Science
High school maths

Who this course is for

Data Science Aspirants
Data Science Professionals
Software/Data engineers interested in quantitative analysis
Professionals working with large datasets
Data analysts, economists, researchers

Your instructor

Prabhakaran S

Principal Data Scientist

My name is Selva, and I am super excited to mentor you on this course!

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 and 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 on-the-job experience. Hope you love it!

from 3,965 ratings: 4.92
learners: 57K+
courses: 85

Questions

How do I get this course?

It is part of All-Access: one membership that opens all 85 courses. The plans and prices are on our course site. You can watch the free preview lessons before you join.

Can I get a refund?

Yes. If the membership is not right for you, ask for a refund within 30 days of your first payment.

Can I learn on my phone?

Yes. Lessons play in the browser on any phone, tablet or computer, and your place is saved for the next device.

I am already a member. Where are my courses?

On our course site, edu.machinelearningplus.com. Sign in there with the email you joined with. The courses move to this site later, with your access, and you will not pay again.