Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 48000 Hz
Language: English | VTT | Size: 1.74 GB | Duration: 4 section | 36 lectures | (3h 26m)
Recommendation systems are at the heart of almost every internet business today; from Facebook to Netflix to .
What you'll learn
learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, context and content based) and deploying
Requirements
small knowledge of python syntax will be preferable, but we are going to go step by step to create this website
Description
Providing good recommendations, whether it's friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.
This course shows you how to do just that , using machine learning algorithms and implement them to Django to create an attractive recommendation website.
Who this course is for:
bner python developers curious about machine learning, data science and Django
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