FreeCourseWeb Udemy Let s Make Recommendation Systems Easy with Live Projects
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| Torrent Hash : | DB023EFB8790791CAEF89C6E1F48F394DF78C428 |
| Torrent Added : | at Oct. 25, 2023, 7:30 p.m. in Other |
| Torrent Size : | 989.1 MB |
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FreeCourseWeb Udemy Let s Make Recommendation Systems Easy with Live Projects
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FreeCourseWeb Udemy Let s Make Recommendation Systems Easy with Live Projects
Get Bonus Downloads Here.url -
001 Introduction to Recommendation Systems.en.srt -
001 Introduction to Recommendation Systems.mp4 -
002 Recommendation System from NetFlix.en.srt -
002 Recommendation System from NetFlix.mp4 -
003 Recommendation System from Amazon.com.en.srt -
003 Recommendation System from Amazon.com.mp4 -
004 Recommendation System from other Big Tech Companies.en.srt -
004 Recommendation System from other Big Tech Companies.mp4 -
005 Advantages of Recommendation Systems Part-I.en.srt -
005 Advantages of Recommendation Systems Part-I.mp4 -
006 Advantages of Recommendation Systems Part-II.en.srt -
006 Advantages of Recommendation Systems Part-II.mp4 -
007 Types of Recommendation Systems.en.srt -
007 Types of Recommendation Systems.mp4 -
008 Weighted Votes - Popularity Based Recommendation System.en.srt -
008 Weighted Votes - Popularity Based Recommendation System.mp4 -
009 Weighted Rating - Popularity Based Recommendation System.en.srt -
009 Weighted Rating - Popularity Based Recommendation System.mp4 -
010 Drawbacks of Popularity Based Recommendation System.en.srt -
010 Drawbacks of Popularity Based Recommendation System.mp4 -
001 Understanding the Problem Statement & Dataset.en.srt -
001 Understanding the Problem Statement & Dataset.mp4 -
002 Let's get Started with Python Coding.en.srt -
002 Let's get Started with Python Coding.mp4 -
003 Calculation of Weighted Votes.en.srt -
003 Calculation of Weighted Votes.mp4 -
004 Calculation of Weighted Ratings.en.srt -
004 Calculation of Weighted Ratings.mp4 -
005 Generating Final Recommendations.en.srt -
005 Generating Final Recommendations.mp4 -
011 MoviesData.csv -
001 Introduction to Content Based Recommendation System.en.srt -
001 Introduction to Content Based Recommendation System.mp4 -
002 Tokenization & Tokens in Natural Language Processing (NLP).en.srt -
002 Tokenization & Tokens in Natural Language Processing (NLP).mp4 -
003 Corpus & Vocabulary.en.srt -
003 Corpus & Vocabulary.mp4 -
004 Stop Words.en.srt -
004 Stop Words.mp4 -
005 N-Grams.en.srt -
005 N-Grams.mp4 -
006 Bag of Words, TDM & DTM.en.srt -
006 Bag of Words, TDM & DTM.mp4 -
007 TF-IDF & Its Importance.en.srt -
007 TF-IDF & Its Importance.mp4 -
008 Cosine Similarity for Content Matching.en.srt -
008 Cosine Similarity for Content Matching.mp4 -
009 Vectors & Cosine Similarity.en.srt -
009 Vectors & Cosine Similarity.mp4 -
010 Advantages of Content Based Filtering.en.srt -
010 Advantages of Content Based Filtering.mp4 -
001 Introduction to Project & Dataset.en.srt -
001 Introduction to Project & Dataset.mp4 -
002 Let's get Started with Python Development.en.srt -
002 Let's get Started with Python Development.mp4 -
003 CountVectorizer Function.en.srt -
003 CountVectorizer Function.mp4 -
004 Word Tokenizer & N-grams.en.srt -
004 Word Tokenizer & N-grams.mp4 -
005 Converting tokens into lowercase & Stop Words Removal.en.srt -
005 Converting tokens into lowercase & Stop Words Removal.mp4 -
006 min_df & max_df and its importance.en.srt -
006 min_df & max_df and its importance.mp4 -
007 Fitting & Transforming the titles.en.srt -
007 Fitting & Transforming the titles.mp4 -
008 Understanding Feature Matrix.en.srt -
008 Understanding Feature Matrix.mp4 -
009 Deep understanding of Feature Matrix.en.srt -
009 Deep understanding of Feature Matrix.mp4 -
010 View Features & Their Presence in Titles.en.srt -
010 View Features & Their Presence in Titles.mp4 -
011 Cosine Similarity Matrix.en.srt -
011 Cosine Similarity Matrix.mp4 -
012 Analyzing the Results of Similarity Matrix.en.srt -
012 Analyzing the Results of Similarity Matrix.mp4 -
013 Books Recommendation in Action.en.srt -
013 Books Recommendation in Action.mp4 -
Bonus Resources.txt -
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Get Bonus Downloads Here.url -
183 bytes
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
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
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
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 -
357 bytes
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