The Machine Learning and Predictive Modeling in R credential demonstrates an earner's understanding of machine learning and predictive modeling concepts and how to perform related analyses in R, including Linear and Logistic Regression, PCA and Nearest Neighbor Algorithms, Clustering Methods, Decision Trees and CART Modeling, Naïve Bayes Classification, Natural Language Processing, Market Basket Analysis, and Neural Networks and Support-Vector Classifiers. This credential is part of the Data Science and Its Applications Credential. Data Science and Its Applications industry-aligned credential is awarded to earners who successfully complete Inferential Statistics - Hypothesis Testing; Inferential Statistics - Regression, ANOVA, and Forecasting; Power BI and Real-time Dashboards; Intro to R; Applications of R; Machine Learning and Predictive Modeling in R; Intro to Python; Data Analysis in Python; Machine Learning in Python. Rolling admission, self-paced