Machine learning in data science using Python (Record no. 5009)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02591nam a22002057a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20230322104721.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230322b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789391540463 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 |
| Item number | RAO |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Rao, R. Nageswara |
| 245 ## - TITLE STATEMENT | |
| Title | Machine learning in data science using Python |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc. | Dreamtech Publisher |
| Place of publication, distribution, etc. | New Delhi |
| Date of publication, distribution, etc. | 2022 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xxx, 926 p. |
| 365 ## - TRADE PRICE | |
| Price type code | INR |
| Price amount | 899.00 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Table of content<br/>Part 1: Python for Machine Learning and Data Science<br/><br/>Chapter 1: Fundamentals of Python<br/><br/>Chapter 2: Datatypes in Python 19<br/><br/>Chapter 3: Operators in Python<br/><br/>Chapter 4: Input and Output<br/><br/>Chapter 5: Control Statements<br/><br/>Chapter 6: Numpy Arrays<br/><br/>Chapter 7: Functions in Python<br/><br/>Chapter 8: Modules, Packages and Libraries<br/><br/>Chapter 9: Introduction to OOPS<br/><br/>Chapter 10: Classes, Objects and Methods<br/><br/>Chapter 11: Data Storage in Files<br/><br/>Chapter 12: Data Analysis Using Pandas<br/><br/>Chapter 13 Advanced Data Analysis using Pandas<br/><br/>Chapter 14: Data Visualization using Matplotlib<br/><br/>Chapter 15: Data Visualization using Seaborn<br/><br/> <br/><br/>Part 2: Machine Learning in Data Science 747<br/><br/>Chapter 16: Introduction to Machine Learning<br/><br/>Chapter 17: Exploratory Data Analysis (EDA)<br/><br/>Chapter 18: Outliers<br/><br/>Chapter 19: Simple Linear Regression<br/><br/>Chapter 20: Multiple Linear Regression<br/><br/>Chapter 21: One Hot Encoding<br/><br/>Chapter 22: Polynomial Linear Regression<br/><br/>Chapter 23: Ridge Regression<br/><br/>Chapter 24: Lasso Regression<br/><br/>Chapter 25: Elasticnet Regression<br/><br/>Chapter 26: Logistic Regression<br/><br/>Chapter 27: Support Vector Machine (SVM)<br/><br/>Chapter 28: Naive Bayes Classification<br/><br/>Chapter 29: KNN Classifier<br/><br/>Chapter 30: Decision Trees<br/><br/>Chapter 31: Random Forest<br/><br/>Chapter 32: K-Means Clustering<br/><br/>Chapter 33: Apriori Algorithm<br/><br/>Chapter 34: Principal Component Analysis (PCA)<br/><br/>Chapter 35: K-Fold Cross Validation<br/><br/>Chapter 36: Model Selection<br/><br/> <br/><br/>Part 3: Deep Learning and AI in Data Science<br/><br/>Chapter 37: Introduction to Deep Learning<br/><br/>Chapter 38: Creating Neural Networks in Python<br/><br/>Chapter 39: Tensorflow and Keras<br/><br/>Chapter 40: Creating ANN Using Tensorflow and Keras<br/><br/>Chapter 41: Convolutional Neural Network (CNN)<br/><br/>Chapter 42: Recurrent Neural Network (RNN)<br/><br/>Chapter 43: Natural Language Processing (NLP)<br/><br/>Chapter 44: Computer Vision |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | This book is useful for students and IT professionals who want to make their career in the field of Machine Learning and Data Science.<br/><br/> |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine learning |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Python - Programming Language |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Book |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Bill No | Bill Date | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Accession Number | Date last seen | Copy number | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | IT & Decisions Sciences | TB3162 | 16-02-2023 | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 03/22/2023 | Technical Bureau India Pvt. Ltd. | 629.30 | 006.31 RAO | 004868 | 03/22/2023 | 1 | 899.00 | 03/22/2023 | Book |