Practical examples and explanations of both fundamental and advanced data science ideas are provided in this comprehensive guide. Data science, machine learning, data mining, and analytics are all thoroughly covered in this book, making it ideal for researchers, students, and professionals of all experience levels. Get the lowdown on data science essentials like pre-processing, which is done before descriptive and predictive data analysis, and proximity measures for numerical, categorical, and mixed-type data.
