Packt - Data Scraping and Data Mining from Beginner to Pro with Python-XQZT
English | Size: 11.54 GB
Category: Tutorial
Learn web scraping and data mining from scratch using Python
Packt - Data Scraping and Data Mining from Beginner to Pro with Python-XQZT
English | Size: 11.54 GB
Category: Tutorial
Learn web scraping and data mining from scratch using Python
Data scraping is the technique of extracting data from the Internet. The course Data Scraping and Data Mining from Beginner to Professional is crafted to cover topics that result in the development of the most in-demand skills in the workplace. These topics will help you understand the concepts and methodologies with regard to Python. The course is easy to understand, imaginative and descriptive, comprehensive, practical with live coding, full of quizzes with solutions, rich with state-of-the-art and updated knowledge of this field.
This course is designed for beginners. We'll spend sufficient time on the fundamentals. Then, we will gradually go far deep with a lot of practical implementations where every step will be explained in detail.
As this course is essentially a compilation of all the basics, you will move ahead at a steady rate. You will experience more than what you have learned. Most of these activities are designed to get you up and running with implementations.
The four hands-on projects included are the most important part of this course. These projects allow you to experiment for yourself with trial and error. You will learn from your mistakes. Importantly, you will understand the potential gaps that may exist between theory and practice.
Code bundles are available here: https://github.com/PacktPublishing/Data-Scraping-and-Data-Mining-from-Beginner-to-Pro-with-Python
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Packt.Data.Scraping.and.Data.Mining.from.Beginner.to.Pro.with.Python-XQZT
Title: Data Scraping and Data Mining from Beginner to Pro with Python
Publisher: Packt
Category: Data
Size: 11833M
Files: 20F
Date: 2021-09-23
Course #: 9781801818483
Published: Packt
Updated: N/A
Author: AI Sciences
Duration: 13 hours 48 minutes
Exer/Code:
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