{"product_id":"statistics-with-r-for-machine-learning-volume-3","title":"Statistics with R for Machine Learning, Volume 3","description":"Before building predictive models, raw data must be cleaned, transformed, and prepared—a process known as data preprocessing. Effective preprocessing enhances the accuracy and reliability of machine learning algorithms. \u003ci\u003eStatistics with R for Machine Learning: Data Preprocessing for Machine Learning using R\u003c\/i\u003e provides an in-depth guide to statistical tools and techniques essential for preparing data. The book explains data normalization, missing value imputation, outlier detection, and feature engineering using R programming. It also introduces visualization tools and statistical validation methods. Practical examples and R scripts make it an ideal reference for students and data professionals.","brand":"Arcler Press","offers":[{"title":"Default Title","offer_id":56747506172248,"sku":"9781779569516","price":178.56,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9781779569516.jpg?v=1779273930","url":"https:\/\/agendabookshop.com\/products\/statistics-with-r-for-machine-learning-volume-3","provider":"Agenda Bookshop","version":"1.0","type":"link"}