About this Course

6,775 recent views

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.

Intermediate Level

Approx. 30 hours to complete

Suggested: Eight weeks of study, eight hours per week....

English

Subtitles: English

What you will learn

  • The concept of various machine learning algorithms.

  • How to apply machine learning models on datasets with Python in Jupyter Notebook.

  • How to evaluate machine learning models.

  • How to optimize machine learning models.

Skills you will gain

Text AnalysisBasic Time Series AnalysisMachine Learning Model Evaluation and OptimizationPython ProgrammingMachine Learning Modeling

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.

Intermediate Level

Approx. 30 hours to complete

Suggested: Eight weeks of study, eight hours per week....

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1

Week 1

1 hour to complete

INTRODUCTION TO THE COURSE

1 hour to complete
2 videos (Total 9 min), 3 readings
2 videos
About Linden Lu3m
3 readings
Syllabus10m
Glossary10m
Update Your Profile10m
8 hours to complete

MODULE 1: INTRODUCTION TO MACHINE LEARNING

8 hours to complete
4 videos (Total 24 min), 1 reading, 2 quizzes
4 videos
1.1 Introduction to Machine Learning6m
1.2 Introduction to Data Preprocessing10m
1.3 Introduction to Machine Learning Algorithms3m
1 reading
Module 1 Overview and Resources10m
1 practice exercise
Module 1 Quiz20m
Week
2

Week 2

8 hours to complete

MODULE 2: FUNDAMENTAL ALGORITHMS I

8 hours to complete
4 videos (Total 31 min), 1 reading, 2 quizzes
4 videos
2.1 Introduction to Linear Regression12m
2.2 Introduction to Logistic Regression8m
2.3 Introduction to Decision Tree6m
1 reading
Module 2 Overview and Resources10m
1 practice exercise
Module 2 Quiz20m
Week
3

Week 3

8 hours to complete

MODULE 3: Fundamental Algorithms II

8 hours to complete
4 videos (Total 15 min), 1 reading, 2 quizzes
4 videos
3.1 Introduction to K-nearest Neighbors5m
3.2 Introduction to Support Vector Machine4m
3.3 Introduction to Bagging and Random Forest3m
1 reading
Module 3 Overview and Resources10m
1 practice exercise
Module 3 Quiz20m
Week
4

Week 4

8 hours to complete

MODULE 4: MODEL EVALUATION

8 hours to complete
4 videos (Total 31 min), 1 reading, 2 quizzes
4 videos
4.1 Regressive Evaluation Metrics8m
4.2 Classification Evaluation Metrics I13m
4.3 Classification Evaluation Metrics II7m
1 reading
Module 4 Overview and Resources10m
1 practice exercise
Module 4 Quiz20m

Start working towards your Master's degree

This course is part of the 100% online Master of Science in Accountancy (iMSA) from University of Illinois at Urbana-Champaign. If you are admitted to the full program, your courses count towards your degree learning.

About University of Illinois at Urbana-Champaign

The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs. ...

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.