Hands-on supervised learning with Python: (Record no. 5965)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01761nam a22002057a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240210174648.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240210b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789389328974 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.35 |
| Item number | LAK |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Lakshmi, Gnana T C |
| 245 ## - TITLE STATEMENT | |
| Title | Hands-on supervised learning with Python: |
| Remainder of title | learn how to solve machine learning problems with supervised learning algorithms using Python |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc. | BPB Publications |
| Place of publication, distribution, etc. | New Delhi |
| Date of publication, distribution, etc. | 2023 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xxv, 357 p. |
| 365 ## - TRADE PRICE | |
| Price type code | INR |
| Price amount | 799.00 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | You will learn about the fundamentals of Machine Learning and Python programming post, which you will be introduced to predictive modelling and the different methodologies in predictive modelling. You will be introduced to Supervised Learning algorithms and Unsupervised Learning algorithms and the difference between them. <br/><br/>We will focus on learning supervised machine learning algorithms covering Linear Regression, Logistic Regression, Support Vector Machines, Decision Trees and Artificial Neural Networks. For each of these algorithms, you will work hands-on with open-source datasets and use python programming to program the machine learning algorithms. You will learn about cleaning the data and optimizing the features to get the best results out of your machine learning model. You will learn about the various parameters that determine the accuracy of your model and how you can tune your model based on the reflection of these parameters.<br/><br/>(https://in.bpbonline.com/products/hands-on-supervised-learning-with-python?_pos=1&_sid=1c331bfd1&_ss=r&variant=38071493066939) |
| 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 (Computer programming language) |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Shang, Madeleine |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| 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 | TB3444 | 24-01-2024 | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 02/10/2024 | Technical Bureau India Pvt. Ltd. | 555.30 | 006.35 LAK | 005754 | 02/10/2024 | 1 | 799.00 | 02/10/2024 | Book |