Download Udemy - Building real world books recommendation engine with Python torrent - GloDLS
Torrent Details For "Udemy - Building real world books recommendation engine with Python"

Udemy - Building real world books recommendation engine with Python

To download this torrent, you need a BitTorrent client: Vuze or BTGuard
Download this torrent
Download using Magnet Link

Health:
Seeds: 0
Leechers: 0
Completed: 0 
Last Checked: 28-01-2022 00:34:22

Uploader Reputation points : 7860




Thanks By

Write a Review for the Uploader:   15   Say Thanks with one good review:
Share on Facebook


Details
Name:Udemy - Building real world books recommendation engine with Python
Description:

Description

Course Description

Learn to build recommendation engine with Collaborative filtering and  popular programming language Python.

Build a strong foundation in Recommendation Systems with this tutorial for beginners.

   Understanding of recommendation systems
   Leverage Collaborative filtering to classify documents
   User Jupyter Notebook for programming
   Use singular value decomposition (SVD) for recommendation engine

A Powerful Skill at Your Fingertips  Learning the fundamentals of recommendation system puts a powerful and very useful tool at your fingertips. Python and Jupyter are free, easy to learn, has excellent documentation.

Jobs in recommendation systems area are plentiful, and being able to learn Collaborative filtering and SVD will give you a strong edge.

Recommendation Systems ares becoming very popular. Amazon, Walmart, Google eCommerce websites are few famous example of recommendation systems in action. Recommendation Systems are vital in information retrieval, upselling and cross selling of products.  Learning Collaborative filtering with SVD will help you become a recommendation system developer which is in high demand.

Big companies like Google, Facebook, Microsoft, AirBnB and Linked In already using recommendation systens with item based collaborative in information retrieval and social platforms. They claimed that using recommendation systems has boosted productivity of entire company significantly.

Content and Overview  

This course teaches you on how to build recommendation systems using open source Python and Jupyter framework.  You will work along with me step by step to build following answers

Introduction to recommendation systems.

Introduction to Collaborative filtering

Build an jupyter notebook step by step using item based collaborative filtering

Build a real world web application to recommend books

What am I going to get from this course?

   Learn recommendations systems and build real world books recommendation engine from professional trainer from your own desk.
   Over 10 lectures teaching you how to build real world recommendation systems
   Suitable for beginner programmers and ideal for users who learn faster when shown.
   Visual training method, offering users increased retention and accelerated learning.
   Breaks even the most complex applications down into simplistic steps.
   Offers challenges to students to enable reinforcement of concepts. Also solutions are described to validate the challenges.

Note: Please note that I am using short documents in this example to illustrate concepts. You can use same code for longer documents as well.
Who this course is for:

   Beginner python developer who are curious to learn about how to apply collaborative filtering to solve real world problems.

Requirements

   Students will need to know Python 3 before starting this course

Last Updated 12/2019
YouTube Video:
Category:Tutorials
Language:English  English
Total Size:863.15 MB
Info Hash:9CFB3D1CEF7A76356EF0006A231463F948CC9737
Added By:tutsnode Verified UploaderVIP
Date Added:2020-11-30 15:45:28
Torrent Status:Torrent Verified


Ratings:Not Yet Rated (Log in to rate it)


Tracker:
udp://inferno.demonoid.pw:3391/announce

This Torrent also has backup trackers
URLSeedersLeechersCompleted
udp://inferno.demonoid.pw:3391/announce000
udp://tracker.openbittorrent.com:80/announce000
udp://tracker.opentrackr.org:1337/announce000
udp://torrent.gresille.org:80/announce000
udp://glotorrents.pw:6969/announce000
udp://tracker.leechers-paradise.org:6969/announce000
udp://tracker.pirateparty.gr:6969/announce000
udp://tracker.coppersurfer.tk:6969/announce000
udp://ipv4.tracker.harry.lu:80/announce000
udp://9.rarbg.to:2710/announce000
udp://shadowshq.yi.org:6969/announce000
udp://tracker.zer0day.to:1337/announce000


File List: 





Comments
No comments still posted