Predictive Analytics for Practitioners

Predictive Analytics for Practitioners

PASS Data Community Summit via YouTube Direct link

Intro

1 of 19

1 of 19

Intro

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Predictive Analytics for Practitioners

Automatically move to the next video in the Classroom when playback concludes

  1. 1 Intro
  2. 2 Technical Assistance
  3. 3 What do Predictive Modelers do? The CRISP-DM Process Model
  4. 4 CRISP-DM: Business Understanding Steps
  5. 5 Objective's
  6. 6 Data Understanding Steps
  7. 7 Source Data
  8. 8 Data Preparation (Conditioning) Steps
  9. 9 Data Size
  10. 10 Modeling Steps
  11. 11 Sampling
  12. 12 Classifiers Find Different Decision Boundaries
  13. 13 Assess Models: ROC Curves
  14. 14 CRISP-DM Step 6: Deployment Steps
  15. 15 Model Results after Deployment
  16. 16 What is Predictive Analytics? Simple Definitions
  17. 17 Predictive Analytics vs. Data Science
  18. 18 What Degree Does it Take to Be a Predictive Modeler?
  19. 19 The Analyst's Journey

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.