About this Course

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Flexible deadlines
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Approx. 11 hours to complete
English

What you will learn

  • Project structure of interactive Python data applications

  • Python web server frameworks: (e.g.) Flask, Django, Dash

  • Best practices around deploying ML models and monitoring performance

  • Deployment scripts, serializing models, APIs

Skills you will gain

Python ProgrammingBig Data ProductsRecommender Systems
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 11 hours to complete
English

Offered by

Placeholder

University of California San Diego

Syllabus - What you will learn from this course

Week
1

Week 1

3 hours to complete

Introduction

3 hours to complete
5 videos (Total 54 min), 3 readings, 3 quizzes
5 videos
Recommender Systems versus Other Forms of Supervised Learning7m
Collaborative Filtering-Based Recommendation19m
Latent Factor Models (Part 1)11m
Latent Factor Models (Part 2)11m
3 readings
Syllabus10m
Course Materials10m
Setting Up Your System10m
3 practice exercises
Review: Recommender Systems30m
Review: Introduction to Latent Factor Models30m
Recommender Systems and Latent Factor Models20m
Week
2

Week 2

1 hour to complete

Implementing Recommender Systems

1 hour to complete
4 videos (Total 36 min)
4 videos
Similarity-Based Recommender for Rating Prediction7m
Implementing a Latent Factor Model (Part 1)11m
Implementing a Latent Factor Model (Part 2)6m
3 practice exercises
Review: Similarity-Based Recommenders5m
Review: Implementing Latent Factor Models4m
Implementing Recommender Systems10m
Week
3

Week 3

1 hour to complete

Deploying Recommender Systems

1 hour to complete
3 videos (Total 17 min), 1 reading, 2 quizzes
3 videos
Intro to Django5m
Flask7m
1 reading
Setting up Your Workspace with Docker: Django10m
2 practice exercises
Review: Flask and Django30m
Deploying Recommender Systems5m
Week
4

Week 4

2 hours to complete

Project 4: Recommender System

2 hours to complete
2 readings
2 readings
Project Description10m
How to Find a Dataset10m

About the Python Data Products for Predictive Analytics Specialization

Python Data Products for Predictive Analytics

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