Adventures in Machine Learning Part 2: Exploratory Data Analysis (EDA) Next Steps - ML 076
Jun 16, 2022
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Introduction
00:00 • 4min
How to Evaluate a Linear Regression Model?
03:33 • 4min
Getting Coefficients Out of a Model
07:39 • 5min
RMSC vs Linear Regression Models - Are They Comparable?
12:38 • 3min
How Do You Think About Using Accuracy Metrics Like That?
15:24 • 3min
Is There a Problem With Those Summary Statistics?
18:17 • 2min
Linear Regression - What Are Some Common Visualization Tools That You Use?
20:19 • 5min
Is RMSE a Good Coefficient?
25:32 • 4min
Using Tree Based Algorithms to Predict a Decision
29:57 • 3min
Decision Trees Are So Pretty on Slides
32:28 • 4min
Feature Importance - What's Out of a Tree?
36:20 • 2min
Using the Shapley's Additive Explanation Algorithm to Explain a Decision Tree
38:09 • 4min
Using a Model Agnostic Approach
42:21 • 2min
Using a Simulator to Predict Loan Acceptance
44:19 • 2min
Using Shapley in a Decision Tree?
46:44 • 3min