YoVDO

Machine Learning Algorithms with R in Business Analytics

Offered By: University of Illinois at Urbana-Champaign via Coursera

Tags

Machine Learning Courses Algorithms and Data Structures Courses Business Intelligence Courses R Programming Courses

Course Description

Overview

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 R and RStudio to run these algorithms and communicate the results using R notebooks.

Syllabus

  • Course Orientation and Module 1: Regression Algorithm for Testing and Predicting Business Data
    • Exploratory data analysis (EDA) is a critical step in the business analytic workflow; however, EDA is a time-consuming approach for uncovering complex relationships. Moreover, the visualizations that are often used for EDA do not lend themselves well for quantifying confidence in results or for making predictions.
  • Module 2: Framework for Machine Learning and Logistic Regression
    • Gain an understanding of machine learning in business and logistic regression
  • Module 3: Classification Algorithms
    • Classification algorithms in general, K-nearest neighbors, and decision trees.
  • Module 4: Clustering Algorithms
    • Clustering algorithms, k-means, and DBSCAN

Taught by

Jessen Hobson and Ronald Guymon

Tags

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity
Natural Language Processing
Columbia University via Coursera
Probabilistic Graphical Models 1: Representation
Stanford University via Coursera
Computer Vision: The Fundamentals
University of California, Berkeley via Coursera
Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent