Machine Learning Algorithms with R in Business Analytics

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  • 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