About this Course

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Shareable Certificate
Earn a Certificate upon completion
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Intermediate Level

Comfort with Python and completion of the prerequisite IBM Machine Learning Professional Certificate. 

Approx. 19 hours to complete
English

What you will learn

  • Compare and contrast different machine learning algorithms by creating recommender systems in Python

  • Develop a final project using machine learning methods and evaluate your peers’ projects

  • Predict course ratings by training a neural network and constructing regression and classification models

  • Create recommendation systems by applying your knowledge of KNN, PCA, and non-negative matrix collaborative filtering

Skills you will gain

  • Artificial Neural Network
  • Python Programming
  • Data Analysis
  • Supervised Learning
  • unsupervised machine learning
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level

Comfort with Python and completion of the prerequisite IBM Machine Learning Professional Certificate. 

Approx. 19 hours to complete
English

Offered by

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IBM Skills Network

Syllabus - What you will learn from this course

Week
1
Week 1
23 minutes to complete

Capstone Overview

23 minutes to complete
2 videos (Total 8 min)
Week
2
Week 2
4 hours to complete

Exploratory Data Analysis and Feature Engineering

4 hours to complete
Week
3
Week 3
4 hours to complete

Unsupervised-Learning Based Recommender System

4 hours to complete
1 video (Total 5 min)
Week
4
Week 4
6 hours to complete

Supervised-Learning Based Recommender Systems

6 hours to complete
1 video (Total 7 min)

About the IBM Machine Learning Professional Certificate

IBM Machine Learning

Frequently Asked Questions

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