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A Python Guide for Web Scraping:

Name: A Python Guide for Web Scraping:
Brand: BPB
SKU: 9789389423617
Availability: InStock

Original price was: ₹949.00.Current price is: ₹835.00.

A Python Guide for Web Scraping: Explore Python Tools, Web Scraping Techniques, and How to Automata Data for Industrial Applications (English Edition) Paperback – 19 April 2021

A Python guide for web scraping is a book that will give information about the importance of web scraping using Python. It includes real-time examples of web scraping. It implies the automation use cases of web scraping as well. It gives information about the different tools and libraries of web scraping so that readers get a wide idea about the features and existence of web scraping. In this book, we started with the basics of Python and its syntactical information. We brief about the use cases and features of Python. We have explained the importance of Python in automation systems. Furthermore, we have added information about real-time industrial examples. We have concentrated and deep-dived into Python’s importance in web scraping, explained the different tools and their usages. We have explained the real-time industrial domain-wise use cases for web scraping.

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SKU: 9789389423617 Categories: Best Sellers, BPB Publications Brand: BPB

Description

This book covers basic concepts of Machine Learning, various learning paradigms, different architectures and algorithms used in these paradigms.

You will learn the power of ML models by exploring different predictive modeling techniques such as Regression, Clustering, and Classification. You will also get hands-on experience on methods and techniques such as Overfitting, Underfitting, Random Forest, Decision Trees, PCA, and Support Vector Machines. In this book real life examples with fully working of Python implementations are discussed in detail.

At the end of the book you will learn about the unsupervised learning covering Hierarchical Clustering, K-means Clustering, Dimensionality Reduction, Anomaly detection, Principal Component Analysis.