| 001 Introduction to Content Based Recommendation System.en.srt | 3.8 KB | ||
| 001 Introduction to Content Based Recommendation System.mp4 | 15.6 MB | ||
| 001 Introduction to Project & Dataset.en.srt | 3.5 KB | ||
| 001 Introduction to Project & Dataset.mp4 | 25.1 MB | ||
| 001 Introduction to Recommendation Systems.en.srt | 6.7 KB | ||
| 001 Introduction to Recommendation Systems.mp4 | 29.3 MB | ||
| 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 KB | ||
| 002 Let's get Started with Python Coding.mp4 | 21.3 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 | ||
| 002 Recommendation System from NetFlix.en.srt | 4.1 KB | ||
| 002 Recommendation System from NetFlix.mp4 | 37.5 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 Calculation of Weighted Votes.en.srt | 8.6 KB | ||
| 003 Calculation of Weighted Votes.mp4 | 39.3 MB | ||
| 003 Corpus & Vocabulary.en.srt | 2.7 KB | ||
| 003 Corpus & Vocabulary.mp4 | 14.8 MB | ||
| 003 CountVectorizer Function.en.srt | 3.7 KB | ||
| 003 CountVectorizer Function.mp4 | 20.1 MB | ||
| 003 Recommendation System from Amazon.com.en.srt | 6.8 KB | ||
| 003 Recommendation System from Amazon.com.mp4 | 41.9 MB | ||
| 004 Calculation of Weighted Ratings.en.srt | 5.5 KB | ||
| 004 Calculation of Weighted Ratings.mp4 | 26.1 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 | ||
| 004 Stop Words.en.srt | 4.5 KB | ||
| 004 Stop Words.mp4 | 31.7 MB | ||
| 004 Word Tokenizer & N-grams.en.srt | 3.8 KB | ||
| 004 Word Tokenizer & N-grams.mp4 | 17.8 MB | ||
| 005 Advantages of Recommendation Systems Part-I.en.srt | 5.2 KB | ||
| 005 Advantages of Recommendation Systems Part-I.mp4 | 15.6 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 | ||
| 005 Generating Final Recommendations.en.srt | 7.6 KB | ||
| 005 Generating Final Recommendations.mp4 | 39.2 MB | ||
| 005 N-Grams.en.srt | 4 KB | ||
| 005 N-Grams.mp4 | 28.2 MB | ||
| 006 Advantages of Recommendation Systems Part-II.en.srt | 5.7 KB | ||
| 006 Advantages of Recommendation Systems Part-II.mp4 | 23.6 MB | ||
| 006 Bag of Words, TDM & DTM.en.srt | 4.6 KB | ||
| 006 Bag of Words, TDM & DTM.mp4 | 35.6 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 | ||
| 007 TF-IDF & Its Importance.en.srt | 4.2 KB | ||
| 007 TF-IDF & Its Importance.mp4 | 18.8 MB | ||
| 007 Types of Recommendation Systems.en.srt | 3.1 KB | ||
| 007 Types of Recommendation Systems.mp4 | 4.8 MB | ||
| 008 Cosine Similarity for Content Matching.en.srt | 4.8 KB | ||
| 008 Cosine Similarity for Content Matching.mp4 | 27.1 MB | ||
| 008 Understanding Feature Matrix.en.srt | 2.8 KB | ||
| 008 Understanding Feature Matrix.mp4 | 12.1 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 Deep understanding of Feature Matrix.en.srt | 6.8 KB | ||
| 009 Deep understanding of Feature Matrix.mp4 | 33.3 MB | ||
| 009 Vectors & Cosine Similarity.en.srt | 6.4 KB | ||
| 009 Vectors & Cosine Similarity.mp4 | 39.6 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 Advantages of Content Based Filtering.en.srt | 3.7 KB | ||
| 010 Advantages of Content Based Filtering.mp4 | 10.2 MB | ||
| 010 Drawbacks of Popularity Based Recommendation System.en.srt | 8.8 KB | ||
| 010 Drawbacks of Popularity Based Recommendation System.mp4 | 19.5 MB | ||
| 010 View Features & Their Presence in Titles.en.srt | 4.2 KB | ||
| 010 View Features & Their Presence in Titles.mp4 | 33 MB | ||
| 011 Cosine Similarity Matrix.en.srt | 6.2 KB | ||
| 011 Cosine Similarity Matrix.mp4 | 20.4 MB | ||
| 011 MoviesData.csv | 8.1 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 | 307.2 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 79 total files | |||
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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