Build a Search Engine with Python

Build a Search Engine with Python, available at $19.99, has an average rating of 4.3, with 49 lectures, based on 13 reviews, and has 106 subscribers.

You will learn about How Internet and Web Search Engines Work Build a Web Search Engine App in Python Build an Image Search Engine and Reverse Image Search Engine App in Python How Web Search Engines like Google process their data Algorithms like Googles PageRank and implementing it in Python Web Crawling Process Information Retrieval and Natural Language Processing This course is ideal for individuals who are Beginner Programmers who want to learn how Web Search Works or People who want to build Web Search Engine Application in Python or People who want to build Image Search Engine and Reverse Image Search Engine in Python or Those curious about Web Search Engine Internal Working Mechanism It is particularly useful for Beginner Programmers who want to learn how Web Search Works or People who want to build Web Search Engine Application in Python or People who want to build Image Search Engine and Reverse Image Search Engine in Python or Those curious about Web Search Engine Internal Working Mechanism.

Enroll now: Build a Search Engine with Python

Summary

Title: Build a Search Engine with Python

Price: $19.99

Average Rating: 4.3

Number of Lectures: 49

Number of Published Lectures: 49

Number of Curriculum Items: 49

Number of Published Curriculum Objects: 49

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will Learn

How Internet and Web Search Engines Work

Build a Web Search Engine App in Python

Build an Image Search Engine and Reverse Image Search Engine App in Python

How Web Search Engines like Google process their data

Algorithms like Googles PageRank and implementing it in Python

Web Crawling Process

Information Retrieval and Natural Language Processing

Who Should Attend

Beginner Programmers who want to learn how Web Search Works

People who want to build Web Search Engine Application in Python

People who want to build Image Search Engine and Reverse Image Search Engine in Python

Those curious about Web Search Engine Internal Working Mechanism

Target Audiences

Beginner Programmers who want to learn how Web Search Works

People who want to build Web Search Engine Application in Python

People who want to build Image Search Engine and Reverse Image Search Engine in Python

Those curious about Web Search Engine Internal Working Mechanism

Welcome to “Build a Search Engine with Python from  Scratch,” a comprehensive Udemy course designed to take you on an exciting journey through the world of search engines and computer science.

In today’s digital age, search engines play an indispensable role in our daily lives, enabling us to access information quickly and efficiently. This course will empower you with the knowledge and skills needed to create your very own search engine from scratch using the versatile Python programming language.

Whether you’re a novice looking to dive into the world of Computer Science or an experienced Python developer eager to expand your skill set, this course is tailored to meet your needs. We will start from the basics and gradually build a fully functional search engine, covering essential concepts like web crawling, indexing, ranking algorithms, and user interfaces.

We’re going to be building:

Web Search Web Application

Image Search Web Application

Reverse Image Search Web Application

in Python and Flask.

Throughout this course, you will not only gain a deep understanding of the inner workings of search engines but also sharpen your Python programming skills.

Also, In the Reverse Image Search Project, we’re going to be using Deep Learning and Artificial Intelligenceto search for similar images.

Whether you’re a college student who’s trying to do a software project or whether you’re an enthusiast trying to learn the inner workings of Search Engine and then build a fully functioning Search Engine project, then this course is for you.

Join me on this educational journey, and let’s embark on the exciting adventure of building a search engine with Python together!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Installing Required Tools

Chapter 2: Theoretical Pre-Requisites: NLP and Information Retrieval

Lecture 1: Introduction to Information Retrieval

Lecture 2: Text Pre-processing

Lecture 3: Zipfs Law

Lecture 4: Implementing Tokenization and Lemmatization

Lecture 5: Implementing Stop Words Removal

Lecture 6: Implementing Stemming

Lecture 7: Inverted Indexes

Lecture 8: Building an Inverted Index

Lecture 9: Searching in an Inverted Index

Lecture 10: Boolean Retrieval Model

Lecture 11: Vector Space Model

Lecture 12: Cosine Similarity

Lecture 13: Term Weighting Mechanisms (TF-IDF)

Lecture 14: Implementing Vector Space Retrieval

Lecture 15: Adding Source Control

Chapter 3: The Internet and Web Search

Lecture 1: The Internet

Lecture 2: Web Search

Chapter 4: Web Spidering/Crawling

Lecture 1: Web Spiders

Lecture 2: Spider Traps

Lecture 3: robots.txt and sitemap.xml

Lecture 4: Building a Web Spider in Python

Chapter 5: A Small Universe of 5 Webpages

Lecture 1: Web Graph of 5 Webpages

Lecture 2: Introduction to Flask

Lecture 3: Implementing Web Graph

Chapter 6: Ranking of Webpages and The PageRank Algorithm

Lecture 1: Link Analysis

Lecture 2: HITS

Lecture 3: PageRank

Lecture 4: PageRank with Damping Factor

Lecture 5: Implementing PageRank in Python

Chapter 7: Building Web Search Engine

Lecture 1: Introduction

Lecture 2: Building Search Page

Lecture 3: Extracting Query

Lecture 4: Crawling and Saving Tokenized Text as Pickle

Lecture 5: Searching using TF-IDF and Cosine Similarity

Lecture 6: Building the Results Page

Chapter 8: Building Image Search Engine

Lecture 1: Creating Search Page

Lecture 2: Crawling and Storing Images Metadata

Lecture 3: Performing Search

Lecture 4: Rendering the Results

Chapter 9: Building Reverse Image Search Engine

Lecture 1: Convolutional Neural Networks

Lecture 2: VGG16

Lecture 3: Reading Images and Extracting Features

Lecture 4: Building Reverse Image Search Engine

Chapter 10: Additional Content: Building Web Search Engine using Database

Lecture 1: Modifying our Web Crawler

Lecture 2: Calculating PageRank

Lecture 3: Implementing Web Search Feature

Chapter 11: Conclusion and Thank You!

Lecture 1: Final Words

Instructors

Aadarsha Ghimire
I try my best to create the best educational content.

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4 stars: 4 votes

5 stars: 7 votes

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