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Machine Learning in R for Everyone

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"Machine Learning in R for Everyone" is your comprehensive guide to mastering machine learning with the R programming language. Whether you're a novice looking to embark on your data science journey or an experienced practitioner aiming to refine your skills, this book provides a structured and hands-on approach to understanding and implementing machine learning concepts.

Starting with the fundamentals, the book introduces you to machine learning algorithms, data manipulation, and analysis tools in R. Through practical examples, you'll learn to collect, preprocess, and explore data, gaining insights into data-driven decision-making. The book covers regression, classification, and time series forecasting, equipping you with the knowledge to build predictive models effectively. You'll delve into model evaluation techniques, feature engineering, and model interpretation, ensuring you can not only create models but also optimize their performance. By the end of the book, you'll be proficient in various machine learning algorithms and visualization techniques, ready to tackle real-world challenges with confidence. "Machine Learning in R for Everyone" is your gateway to unleashing the power of machine learning for practical applications in R.

176 pages, Kindle Edition

Published September 10, 2023

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2 reviews
May 25, 2024
Poor writing! So many exclamations of emotion that it is difficult to wade through the text

The writing style has so many emotive words that the meaning is lost. I got through one and a half chapters before I gave up, and I never give up on a book that helps me learn a new topic that I need to learn.
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