Author : Aman Kharwal
Publisher :
ISBN 13 : 935648483X
Total Pages : 253 pages
Book Rating : 4.3/5 (564 download)
Book Synopsis Machine Learning Algorithms: Handbook by : Aman Kharwal
Download or read book Machine Learning Algorithms: Handbook written by Aman Kharwal and published by . This book was released on 2023-09-15 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: Key Features: Clear Explanations of Machine Learning Algorithms: The book offers clear and concise explanations of machine learning algorithms, ensuring that readers of all levels can grasp the concepts effortlessly. Hands-On Approach: Packed with practical examples using Python and code snippets, you'll gain a hands-on understanding of how each algorithm works and learn to implement them in real projects. Comprehensive Coverage: From linear regression and support vector machines to decision trees and neural networks, the book covers a wide array of algorithms, giving you a solid foundation to explore diverse problem domains. Performance Evaluation Methods: Learn how to evaluate the effectiveness of your models, identify areas for improvement, and optimize their performance using industry-standard evaluation techniques. Data Preprocessing Techniques: Discover the critical elements of data preprocessing that lay the groundwork for building robust and accurate machine learning models. Time Series Forecasting: Explore advanced algorithms specifically designed for time series data, a critical component of numerous real-world applications. Appendix for Easy Reference: Access all parameters of commonly used machine learning algorithms in a handy appendix, facilitating efficient model tuning.