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Accessing and Manipulating Data in R: Using R in Data Science and ML

Accessing and Manipulating Data in R Perhaps as you may have noted in following this series from the Art of Better Programming, we have gone through great lengths to provide knowledge and resources to you for learning data science. We began primarily with a variety of series that elaborated on data science with Python. WeContinue reading “Accessing and Manipulating Data in R: Using R in Data Science and ML”

Transition From Python To R: Using R in Data Science and ML

An Introduction To R The Art of Better Programming has given an extensive discussion of machine learning and data science from the perspective of Python. Studies show that Python is the most represented programming language in data science, exhibiting a use in over 50% of cases. However, if you want to be an employable dataContinue reading “Transition From Python To R: Using R in Data Science and ML”

Ridge Regression Linear Models: Topics of Machine Learning

Introduction to Ridge Regresison This present article moves away from traditional linear and polynomial regression to a more nuanced form of regression known as ridge regression. Previously, we spent a great deal of time reviewing traditional machine learning models and investigated the performance measures associated with these algorithms. We then took great lengths in examiningContinue reading “Ridge Regression Linear Models: Topics of Machine Learning”

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