Fundamentals of Supervised Machine Learning: With Applications in Python, R, and Stata (Statistics Computing)

Elements of Network Science: Theory, Methods and Applications in Stata, R Python (Statistics Computing)

Applied Statistical Learning: With Case Studies in Stata (Statistics and Computing)

Foundations of Multivariate Data Science: Statistics and Machine Learning with Python R

Visualization and Imputation of Missing Values: With Applications in R (Statistics Computing)