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Data Science and Machine Learning using Python | By Dr Reema Thareja | Standard Edition | McGraw Hill(English Medium)

666-795
[Shipping Cost = Standard Mode, Expedite Mode]
Data Science and Machine Learning using Python | By Dr Reema Thareja | Standard Edition | McGraw Hill(English Medium)


Data Science and Machine Learning using Python by Dr. Reema Thareja is a comprehensive guide that covers the fundamental concepts of data science and machine learning using the popular programming language, Python. The book is designed for students, professionals, and anyone interested in learning about data science and machine learning. The book starts with an introduction to data science and its applications in various fields such as business, healthcare, finance, and more. It then delves into the basics of Python programming, including data types, operators, control structures, functions, and modules. The author provides hands-on exercises and examples throughout the book to help readers understand how to apply these concepts in real-world scenarios. One of the key highlights of this book is its coverage of machine learning algorithms. The author explains popular algorithms such as linear regression, logistic regression, decision trees, support vector machines, k-nearest neighbors, clustering algorithms, and neural networks in a clear and concise manner. Readers will learn how to implement these algorithms using Python libraries such as scikit-learn and TensorFlow. In addition to machine learning algorithms, the book also covers other important topics in data science such as data preprocessing, feature engineering, model evaluation techniques, ensemble methods, deep learning concepts, natural language processing (NLP), and recommendation systems. Whether you are a beginner or an experienced professional in the field of data science and machine learning, this book will provide you with a solid foundation to build upon. By the end of the book, readers will have gained a thorough understanding of how to use Python for data manipulation, visualization, analysis, modeling, and deployment. Overall, Data Science and Machine Learning using Python by Dr. Reema Thareja is a valuable resource for anyone looking to enhance their skills in data science and machine learning with Python.

Search Keywords - Data Science, Machine Learning, Python Programming, Dr Reema Thareja, McGraw Hill Books, Data Analysis, Artificial Intelligence, Data Visualization, Linear Regression, Logistic Regression, Decision Trees, Support Vector Machines, K-Nearest Neighbors, Clustering Algorithms, Neural Networks, Scikit-Learn Library, TensorFlow Library, Feature Engineering, Deep Learning Concepts, Natural Language Processing
Product Details
SKU / BOOK Code: McGraw-Data Science-Standard-E
Publisher: McGraw Hill
Author:
Binding Type: Paperback
No. of Pages: 640
ISBN-10: 9355322143
ISBN-13: 978-9355322142
Edition: Standard Edition
Language: English Medium
Publish Year: 2022-08
Weight (g): 770
Product Condition: New
Reading Age: Above 18 Years
Country of Origin: India
Genre: Computers & Internet
Manufacturer: McGraw Hill
Importer: McGraw Hill
Packer: Fullfilled by Supplier
Product Description
Data Science and Machine Learning using Python | By Dr Reema Thareja | Standard Edition | McGraw Hill(English Medium)


Data Science and Machine Learning using Python by Dr. Reema Thareja is a comprehensive guide that covers the fundamental concepts of data science and machine learning using the popular programming language, Python. The book is designed for students, professionals, and anyone interested in learning about data science and machine learning. The book starts with an introduction to data science and its applications in various fields such as business, healthcare, finance, and more. It then delves into the basics of Python programming, including data types, operators, control structures, functions, and modules. The author provides hands-on exercises and examples throughout the book to help readers understand how to apply these concepts in real-world scenarios. One of the key highlights of this book is its coverage of machine learning algorithms. The author explains popular algorithms such as linear regression, logistic regression, decision trees, support vector machines, k-nearest neighbors, clustering algorithms, and neural networks in a clear and concise manner. Readers will learn how to implement these algorithms using Python libraries such as scikit-learn and TensorFlow. In addition to machine learning algorithms, the book also covers other important topics in data science such as data preprocessing, feature engineering, model evaluation techniques, ensemble methods, deep learning concepts, natural language processing (NLP), and recommendation systems. Whether you are a beginner or an experienced professional in the field of data science and machine learning, this book will provide you with a solid foundation to build upon. By the end of the book, readers will have gained a thorough understanding of how to use Python for data manipulation, visualization, analysis, modeling, and deployment. Overall, Data Science and Machine Learning using Python by Dr. Reema Thareja is a valuable resource for anyone looking to enhance their skills in data science and machine learning with Python.

Search Keywords - Data Science, Machine Learning, Python Programming, Dr Reema Thareja, McGraw Hill Books, Data Analysis, Artificial Intelligence, Data Visualization, Linear Regression, Logistic Regression, Decision Trees, Support Vector Machines, K-Nearest Neighbors, Clustering Algorithms, Neural Networks, Scikit-Learn Library, TensorFlow Library, Feature Engineering, Deep Learning Concepts, Natural Language Processing
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