Data Science Analytics Python by Sandhya Arora (6 results)
- Softcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
Contact seller4-star sellerCondition: New
US$ 18.96
US$ 8.58 shippingShips from United Kingdom to U.S.A.Quantity: 4 available
Condition: New.
- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
Contact seller4-star sellerCondition: New
US$ 25.28
US$ 3.99 shippingShips within U.S.A.Quantity: 4 available
Condition: New.
- Softcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
Contact seller4-star sellerCondition: New
US$ 18.57
US$ 11.32 shippingShips from Germany to U.S.A.Quantity: 4 available
Condition: New.
- Softcover
Seller: Vedams eBooks (P) Ltd, New Delhi, IndiaVedams eBooks (P) Ltd
Contact seller4-star sellerCondition: New
US$ 21.50
US$ 19.91 shippingShips from India to U.S.A.Quantity: 5 available
Soft cover. Condition: New. Contents: Preface. 1. Introduction to Data Science. 2. Environment Set-up and Basics of Python. 3. NumPy and pandas. 4. Data Visualization. 5. Python scikit-learn. 6. Environment Set-up: TensorFlow and Keras. 7. Probability. 8. Machine Learning and Data Pre-processing. 9. Statistical Analysis: Descrip…tive Statistics. 10. Statistical Analysis: Inferential Statistics. 11. Classification. 12. Prescriptive Analytics: Data Stream Mining. 13. Language Data Processing in Python. 14. Clustering. 15. Association Rule Mining. 16. Time Series Analysis Using Python. 17. Deep Neural Network and Convolutional Neural Network. 18. Case Studies. Index. Data Science and Machine Learning are the leading buzzwords of today. This book covers all aspects of these subjects, from data definition and categorization, classification techniques, clustering and ML algorithms to data stream and association rule mining, language data processing and neural networks. It explains descriptive and inferential statistical analysis, probability distribution and density functions as well as time series. It also describes the fundamentals of Python programming, the Python environment and libraries such as scikit-learn, NumPy and pandas, and takes a deep dive into data visualization modules and tools. Mastery of these areas will enable students to become proficient and effective data scientists. Salient features Ideal for undergraduate courses on Data Science and Analytics Provides step-by-step instructions for setting up the Python environment and executing various libraries and packages All chapters include relevant case studies, their Python code and output; the last chapter is dedicated to case studies Over 300 exercise questions comprising MCQs, programming exercises and concept-based questions, with answers provided for quick reference Bibliography at the end of every chapter for further reading Android app with chapter-wise PowerPoint slides and job interview questions.
- Softcover
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
Contact seller5-star sellerCondition: New
US$ 48.72
Free ShippingShips within U.S.A.Quantity: 3 available
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
Contact seller5-star sellerCondition: New
US$ 61.17
US$ 7.75 shippingShips from United Kingdom to U.S.A.Quantity: 3 available
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
