Download [ FreeCourseWeb ] Udemy - The Ultimate Beginners Guide to Python Recommender Systems torrent

[ FreeCourseWeb ] Udemy - The Ultimate Beginners Guide to Python Recommender Systems

Torrent:	[ FreeCourseWeb ] Udemy - The Ultimate Beginners Guide to Python Recommender Systems
Description:	The Ultimate Beginners Guide to Python Recommender Systems MP4 \| Video: h264, 1280x720 \| Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning \| Language: English + srt \| Duration: 29 lectures (3h 52m) \| Size: 1 GB Use collaborative filtering to recommend movies to users! Implementations step by step from scratch! What you'll learn: Understand the basics about recommender systems Understand the theory and mathematical calculations of collaborative filtering Implement user-based collaborative filtering and item-based collaborative filtering step by step in Python Use the following libraries for recommender systems: LibRecommender and Surprise Use the MovieLens dataset to generate movie recommendations for users Requirements Programming logic Basic Python programming Description Recommender systems are a hot topic in Artificial Intelligence and are widely used for a lot of companies. They are everywhere recommending movies, music, videos, products, services, and so on. For example, when you finish watching a movie on Netflix, other movies you might like are indicated for you. This is the classic example of a recommender system! In this course, you will learn in theory and practice how recommender systems work! You will implement an algorithm based on the collaborative filtering technique applied to movie recommendations (user-based filtering and item-based filtering). We are going to use a small dataset to test all mathematical calculations. Then, we will test our algorithm using the famous MovieLens dataset, which has more than 100.000 instances. At the end of the course (after implementing the algorithm from scratch), you will learn how to use two pre-built libraries: LibRecommender and Surprise! Download More Courses Visit and Support Us -->> https://FreeCourseWeb.com
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Show Files »	[ FreeCourseWeb.com ] Udemy - The Ultimate Beginners Guide to Python Recommender Systems Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 01 Introduction 001 Course content.en.srt (5.6 KB) 001 Course content.mp4 (26.4 MB) 002 Introduction to recommender systems.en.srt (10.4 KB) 002 Introduction to recommender systems.mp4 (40.2 MB) 003 Recommender Systems.pdf (1.0 MB) 003 Source code and slides.html (1.1 KB) __MACOSX _ml-100k (0.3 KB) ml-100k _README (0.2 KB) _allbut.pl (0.2 KB) _mku.sh (0.2 KB) _u.data (0.3 KB) _u.genre (0.2 KB) _u.info (0.2 KB) _u.item (0.3 KB) _u.occupation (0.2 KB) _u.user (0.2 KB) _u1.base (0.2 KB) _u1.test (0.2 KB) _u2.base (0.2 KB) _u2.test (0.2 KB) _u3.base (0.2 KB) _u3.test (0.2 KB) _u4.base (0.2 KB) _u4.test (0.2 KB) _u5.base (0.2 KB) _u5.test (0.2 KB) _ua.base (0.2 KB) _ua.test (0.2 KB) _ub.base (0.2 KB) _ub.test (0.2 KB) ml-100k README (6.6 KB) allbut.pl (0.7 KB) mku.sh (0.6 KB) u.data (1.9 MB) u.genre (0.2 KB) u.info (0.0 KB) u.item (230.8 KB) u.occupation (0.2 KB) u.user (22.1 KB) u1.base (1.5 MB) u1.test (383.4 KB) u2.base (1.5 MB) u2.test (386.0 KB) u3.base (1.5 MB) u3.test (387.3 KB) u4.base (1.5 MB) u4.test (388.0 KB) u5.base (1.5 MB) u5.test (388.1 KB) ua.base (1.7 MB) ua.test (182.3 KB) ub.base (1.7 MB) ub.test (182.3 KB) 02 Search for similar users 001 Movie dataset.en.srt (8.3 KB) 001 Movie dataset.mp4 (35.6 MB) 002 Analyzing users and feedbacks.en.srt (3.8 KB) 002 Analyzing users and feedbacks.mp4 (12.5 MB) 003 Euclidian distance - intuition.en.srt (9.1 KB) 003 Euclidian distance - intuition.mp4 (27.1 MB) 004 Euclidian distance - implementation 1.en.srt (6.2 KB) 004 Euclidian distance - implementation 1.mp4 (22.5 MB) 005 Euclidian distance - implementation 2.en.srt (12.1 KB) 005 Euclidian distance - implementation 2.mp4 (74.3 MB) 006 Similarity between users.en.srt (4.9 KB) 006 Similarity between users.mp4 (23.5 MB) external-assets-links.txt (0.1 KB) 03 Collaborative filtering - user-based filtering 001 Recommendations - intuition.en.srt (15.3 KB) 001 Recommendations - intuition.mp4 (65.7 MB) 002 Recommendations - implementation 1.en.srt (8.6 KB) 002 Recommendations - implementation 1.mp4 (43.9 MB) 003 Recommendations - implementation 2.en.srt (8.7 KB) 003 Recommendations - implementation 2.mp4 (55.5 MB) 004 Recommendations - implementation 3.en.srt (5.8 KB) 004 Recommendations - implementation 3.mp4 (28.9 MB) 005 Similar movies - intuition.en.srt (3.3 KB) 005 Similar movies - intuition.mp4 (11.0 MB) 006 Similar movies - implementation.en.srt (9.8 KB) 006 Similar movies - implementation.mp4 (45.5 MB) 007 MovieLens dataset.en.srt (6.1 KB) 007 MovieLens dataset.mp4 (52.9 MB) 008 Loading the MovieLens dataset.mp4 (75.8 MB) 009 Recommendations with MovieLens.en.srt (4.6 KB) 009 Recommendations with MovieLens.mp4 (29.9 MB) 010 Similar movies and MovieLens.en.srt (7.9 KB) 010 Similar movies and MovieLens.mp4 (49.9 MB) external-assets-links.txt (0.1 KB) 04 Collaborative filtering - item-based filtering 001 Item-based filtering - intuition.en.srt (14.1 KB) 001 Item-based filtering - intuition.mp4 (51.8 MB) 002 Similarity between movies.en.srt (4.8 KB) 002 Similarity between movies.mp4 (28.6 MB) 003 Recommendations - implementation.mp4 (85.9 MB) 004 MovieLens dataset.en.srt (7.3 KB) 004 MovieLens dataset.mp4 (47.1 MB) 005 User-based vs Item-base filtering.en.srt (2.3 KB) 005 User-based vs Item-base filtering.mp4 (9.7 MB) external-assets-links.txt (0.1 KB) 05 Libraries for recommender systems 001 Preparing the dataset for LibRecommender.en.srt (11.8 KB) 001 Preparing the dataset for LibRecommender.mp4 (70.2 MB) 002 LibRecommender - user-based filtering.en.srt (9.2 KB) 002 LibRecommender - user-based filtering.mp4 (55.1 MB) 003 LibRecommender - item-based filtering.en.srt (4.0 KB) 003 LibRecommender - item-based filtering.mp4 (24.9 MB) 004 Surprise library.en.srt (11.5 KB) 004 Surprise library.mp4 (85.0 MB) external-assets-links.txt (0.1 KB) 06 Final remarks 001 Final remarks.en.srt (1.5 KB) 001 Final remarks.mp4 (4.3 MB) Bonus Resources.txt (0.3 KB) files
Added:	2021-07-12 11:10:06
Language:	English
Peers:	Seeders : 6 , Leechers : 8
Release name:	[ FreeCourseWeb ] Udemy - The Ultimate Beginners Guide to Python Recommender Systems
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