[ FreeCourseWeb ] Udemy - Let's Make Recommendation Systems Easy with Live Projects

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[ FreeCourseWeb.com ] Udemy - Let's Make Recommendation Systems Easy with Live Projects
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 01 Introduction to Recommendation Systems
    • 001 Introduction to Recommendation Systems.en.srt (6.7 KB)
    • 001 Introduction to Recommendation Systems.mp4 (29.3 MB)
    • 002 Recommendation System from NetFlix.en.srt (4.1 KB)
    • 002 Recommendation System from NetFlix.mp4 (37.5 MB)
    • 003 Recommendation System from Amazon.com.en.srt (6.8 KB)
    • 003 Recommendation System from Amazon.com.mp4 (41.9 MB)
    • 004 Recommendation System from other Big Tech Companies.en.srt (3.4 KB)
    • 004 Recommendation System from other Big Tech Companies.mp4 (10.5 MB)
    • 005 Advantages of Recommendation Systems Part-I.en.srt (5.2 KB)
    • 005 Advantages of Recommendation Systems Part-I.mp4 (15.6 MB)
    • 006 Advantages of Recommendation Systems Part-II.en.srt (5.7 KB)
    • 006 Advantages of Recommendation Systems Part-II.mp4 (23.6 MB)
    • 007 Types of Recommendation Systems.en.srt (3.1 KB)
    • 007 Types of Recommendation Systems.mp4 (4.8 MB)
    • 008 Weighted Votes - Popularity Based Recommendation System.en.srt (11.1 KB)
    • 008 Weighted Votes - Popularity Based Recommendation System.mp4 (64.3 MB)
    • 009 Weighted Rating - Popularity Based Recommendation System.en.srt (4.4 KB)
    • 009 Weighted Rating - Popularity Based Recommendation System.mp4 (21.7 MB)
    • 010 Drawbacks of Popularity Based Recommendation System.en.srt (8.8 KB)
    • 010 Drawbacks of Popularity Based Recommendation System.mp4 (19.5 MB)
    02 Project 1 - Build a Movie Recommendation System
    • 001 Understanding the Problem Statement & Dataset.en.srt (4.7 KB)
    • 001 Understanding the Problem Statement & Dataset.mp4 (51.8 MB)
    • 002 Let's get Started with Python Coding.en.srt (4.0 KB)
    • 002 Let's get Started with Python Coding.mp4 (21.3 MB)
    • 003 Calculation of Weighted Votes.en.srt (8.6 KB)
    • 003 Calculation of Weighted Votes.mp4 (39.3 MB)
    • 004 Calculation of Weighted Ratings.en.srt (5.5 KB)
    • 004 Calculation of Weighted Ratings.mp4 (26.1 MB)
    • 005 Generating Final Recommendations.en.srt (7.6 KB)
    • 005 Generating Final Recommendations.mp4 (39.2 MB)
    • 011 MoviesData.csv (8.1 MB)
    03 Natural Language Processing (NLP) & Content Based Filtering
    • 001 Introduction to Content Based Recommendation System.en.srt (3.8 KB)
    • 001 Introduction to Content Based Recommendation System.mp4 (15.6 MB)
    • 002 Tokenization & Tokens in Natural Language Processing (NLP).en.srt (4.9 KB)
    • 002 Tokenization & Tokens in Natural Language Processing (NLP).mp4 (20.9 MB)
    • 003 Corpus & Vocabulary.en.srt (2.7 KB)
    • 003 Corpus & Vocabulary.mp4 (14.8 MB)
    • 004 Stop Words.en.srt (4.5 KB)
    • 004 Stop Words.mp4 (31.7 MB)
    • 005 N-Grams.en.srt (4.0 KB)
    • 005 N-Grams.mp4 (28.2 MB)
    • 006 Bag of Words, TDM & DTM.en.srt (4.6 KB)
    • 006 Bag of Words, TDM & DTM.mp4 (35.6 MB)
    • 007 TF-IDF & Its Importance.en.srt (4.2 KB)
    • 007 TF-IDF & Its Importance.mp4 (18.8 MB)
    • 008 Cosine Similarity for Content Matching.en.srt (4.8 KB)
    • 008 Cosine Similarity for Content Matching.mp4 (27.1 MB)
    • 009 Vectors & Cosine Similarity.en.srt (6.4 KB)
    • 009 Vectors & Cosine Similarity.mp4 (39.6 MB)
    • 010 Advantages of Content Based Filtering.en.srt (3.7 KB)
    • 010 Advantages of Content Based Filtering.mp4 (10.2 MB)
    04 Project 2 _ Recommendation Engine for a Book Store
    • 001 Introduction to Project & Dataset.en.srt (3.5 KB)
    • 001 Introduction to Project & Dataset.mp4 (25.1 MB)
    • 002 Let's get Started with Python Development.en.srt (2.7 KB)
    • 002 Let's get Started with Python Development.mp4 (14.3 MB)
    • 003 CountVectorizer Function.en.srt (3.7 KB)
    • 003 CountVectorizer Function.mp4 (20.1 MB)
    • 004 Word Tokenizer & N-grams.en.srt (3.8 KB)
    • 004 Word Tokenizer & N-grams.mp4 (17.8 MB)
    • 005 Converting tokens into lowercase & Stop Words Removal.en.srt (2.9 KB)
    • 005 Converting tokens into lowercase & Stop Words Removal.mp4 (13.4 MB)
    • 006 min_df & max_df and its importance.en.srt (3.4 KB)
    • 006 min_df & max_df and its importance.mp4 (13.8 MB)
    • 007 Fitting & Transforming the titles.en.srt (3.3 KB)
    • 007 Fitting & Transforming the titles.mp4 (13.2 MB)
    • 008 Understanding Feature Matrix.en.srt (2.8 KB)
    • 008 Understanding Feature Matrix.mp4 (12.1 MB)
    • 009 Deep understanding of Feature Matrix.en.srt (6.8 KB)
    • 009 Deep understanding of Feature Matrix.mp4 (33.3 MB)
    • 010 View Features & Their Presence in Titles.en.srt (4.2 KB)
    • 010 View Features & Their Presence in Titles.mp4 (33.0 MB)
    • 011 Cosine Similarity Matrix.en.srt (6.2 KB)
    • 011 Cosine Similarity Matrix.mp4 (20.4 MB)
    • 012 Analyzing the Results of Similarity Matrix.en.srt (5.6 KB)
    • 012 Analyzing the Results of Similarity Matrix.mp4 (30.5 MB)
    • 013 Books Recommendation in Action.en.srt (9.3 KB)
    • 013 Books Recommendation in Action.mp4 (44.8 MB)
    • Bonus Resources.txt (0.3 KB)

Description

Let's Make Recommendation Systems Easy with Live Projects

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 38 lectures (2h 19m) | Size: 923.4 MB
Python, Recommendation Engine, Data Science, Machine Learning, Artificial Intelligence, Natural Language Processing(NLP)
What you'll learn:
Recommendation Engine , Python, Data Science, Artificial Intelligence, Machine Learning
Natural Language Processing (NLP), Cosine Similarity

Requirements
Python Programming

Description
This Course is designed for all Data Science & Machine Learning students, who are looking to understand "How to Build a Recommendation System from Scratch".

In this course you will master various recommendation engines including Popularity Based, Content Based, Collaborative Filtering, Singular Value Decomposition(SVD), NLP and much more.

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989.1 MB
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[ FreeCourseWeb ] Udemy - Let's Make Recommendation Systems Easy with Live Projects


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