YoVDO

Understanding SHAP Summary Plot - Interpretable Machine Learning - Day 19

Offered By: 1littlecoder via YouTube

Tags

Machine Learning Courses Data Visualization Courses Python Courses Kaggle Courses SHAP Courses

Course Description

Overview

Explore the intricacies of SHAP (SHapley Additive exPlanations) and Shapley Values in this 21-minute video tutorial on Machine Learning Explainability. Dive into a comprehensive recap of SHAP, followed by an in-depth examination of SHAP Summary Plots and SHAP Dependence Plots. Learn how to interpret these powerful tools for understanding model predictions and feature importance. Gain valuable insights into making machine learning models more interpretable and explainable, enhancing your data science and ML skills. This tutorial is part of the Kaggle 30 Days of ML Challenge, designed to help you build a daily habit of coding machine learning in Python.

Syllabus

Kaggle 30 Days of ML (Day 19) - Understanding SHAP Summary Plot - Interpretable Machine Learning


Taught by

1littlecoder

Related Courses

Intro to Statistics
Stanford University via Udacity
Introduction to Data Science
University of Washington via Coursera
Passion Driven Statistics
Wesleyan University via Coursera
Information Visualization
Indiana University via Independent
DCO042 - Python For Informatics
University of Michigan via Independent