Skip to main content
Skip to book tools
MyEducator Home Page
Main Menu
Business Analytics and Mach...
Chapter 16
Title Page
Foreword: Why Data Science?
Chapter 1: Introduction to Business Analytics
Chapter 2: AI in Business
Chapter 3: Data Mining Project Methodology
Chapter 4: Visualization: Theory and Design
Chapter 5: Tableau: Core Features
Chapter 6: Tableau: Exploratory Data Analysis
Chapter 7: Tableau: Clustering
Chapter 8: Excel: Multivariate Prediction
Chapter 9: AMLS: Introduction to Pipelines
Chapter 10: AMLS: Data Cleaning and Preparation
Chapter 11: AMLS: Algorithm Selection
Chapter 12: AMLS: Selecting the Features
Chapter 13: AMLS: Optimizing Model Fit and Performance
Chapter 14: AMLS: Natural Language Processing
Chapter 15: AMLS: Recommendation Engines
Chapter 16: Project: Putting It All Together
Supplement: Datasets
Supplement: AMLS: Computer Vision (in progress)
Login
Chapter 16: Project: Putting It All Together
16.1 Integrated Project
16.2 Team Version Project Description
This is the current section.
16.3 Individual Version Project Description
Delete
U
U
U
U
U
U
U
U
Add notes to your highlight here
Tag your highlight here
Save