Ementorhub

What you'll learn

Implement a conceptual framework of machine learning algorithms for finding actionable insight to business problems.

Apply a conceptual foundation for interpreting machine learning results from regression, classification, and clustering algorithms.

Apply machine learning algorithms to business data.

Skills you'll gain

Business Analytics

Unsupervised Learning

Machine Learning

Regression Analysis

Classification And Regression Tree (CART)

Analytics

Statistical Machine Learning

Exploratory Data Analysis

R Programming

Predictive Analytics

Data Analysis

Predictive Modeling

Supervised Learning

Applied Machine Learning

There are 4 modules in this course

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.

Module 2: Framework for Machine Learning and Logistic Regression

Module 3: Classification Algorithms

Module 4: Clustering Algorithms