"Machine Learning with R" is designed to equip you with the essential knowledge and skills to master machine learning techniques using the R programming language. Throughout this comprehensive program, you will explore a wide range of machine learning concepts, algorithms, and practical applications, focusing on the core principles of predictive modeling and data analysis.
This course covers crucial topics, including the fundamentals of machine learning, linear and logistic regression, decision trees, random forests, K-Nearest Neighbors (KNN), Support Vector Machines (SVM), and evaluation metrics. Additionally, you will delve into time series analysis, gaining hands-on experience with data handling, model building, and implementing various algorithms using R. The course will also compare and contrast decision trees and random forests, providing you with a deep understanding of these popular techniques.
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