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Machine Learning Algorithms with Python in Business Analytics

Курс от University of Illinois Urbana-Champaign

Средний≈ 16.9 чАнглийский

О курсе

One of the most exciting aspects of business analytics is finding patterns in the data using machine learning algorithms. In this course you will gain a conceptual foundation for why machine learning algorithms are so important and how the resulting models from those algorithms are used to find actionable insight related to business problems. Some algorithms are used for predicting numeric outcomes, while others are used for predicting the classification of an outcome. Other algorithms are used for creating meaningful groups from a rich set of data. Upon completion of this course, you will be able to describe when each algorithm should be used. You will also be given the opportunity to use Python to run these algorithms and communicate the results.

Навыки, которые вы освоите

Decision Tree Learning Machine Learning Algorithms Applied Machine Learning Unsupervised Learning Classification Algorithms Scikit Learn (Machine Learning Library)Regression Analysis Data Preprocessing Business Analytics Machine Learning Methods Predictive Modeling Machine Learning Analytics Data Processing Python Programming

Программа курса

4 модулей · 81 учебных материалов

01Course Orientation and Module 1: Introduction to Machine Learning (ML) for Testing and Predicting Business Data30 материалов

Course Orientation

Course IntroductionВидео About Professor Kim MendozaВидео About Professor Ron GuymonВидео SyllabusЧтение

Учитесь у экспертов

Ronald Guymon

Senior Lecturer of Accountancy

Kimberly Mendoza

Associate Professor of Accountancy and Grant Thornton LLP Faculty Fellow and Director of the Deloitte Foundation Center for Business Analytics

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Обучение на Coursera

≈ 16.9 ч

4 модулей

Язык: Английский

Субтитры: Арабский, Французский, Бенгальский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Вьетнамский, Нидерландский, Корейский, Немецкий, Пушту, Урду, Русский, Тайский, Индонезийский, Шведский, Турецкий, Азербайджанский, Испанский, Дари, Хинди, Японский, Казахский, Венгерский, Польский

Machine Learning Algorithms with Python in Business Analytics

О курсе

Навыки, которые вы освоите

Программа курса

Course Orientation

Учитесь у экспертов

Ronald Guymon

Kimberly Mendoza

About Your Classmates

Module 1 Introduction

Lesson 1-1 Algorithms and Models in Business

Lesson 1-2 The ML Workflow

Module 1 Conclusion

Module 1 Graded Activity

Module 2 Introduction

Lesson 2-1 Background

Lesson 2-2 Linear Regression

Lesson 2-3 Decision Tree Regression

Module 2 Conclusion

Module 2 Graded Activity

Module 3 Introduction

Lesson 3-1 Background

Lesson 3-2 Logistic Regression

Lesson 3-3 Decision Tree Classification Algorithim

Module 3-4

Module 3 Conclusion

Module 3 Graded Activity

Module 4 Introduction

Lesson 4-1 Background

Lesson 4-2 K-Means Clustering Algorithim

Lesson 4-3 DBSCAN Clustering Algorithim

Module 4 Conclusion

Module 4 Graded Activity

Course Conclusion