Machine Learning Projects: Recommendation system website

Name: Machine Learning Projects: Recommendation system website
Rating: 3.5 (44 reviews)

Learn how to create a Django recommendation website with machine learning algorithms

Created byMari Enterkini

Last updated 8/2018

English

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 them to the web using Django

Course content

4 sections • 36 lectures • 3h 26m total length

Introduction1:51
this is an introduction of this course, it describes what this course is about, what we will build and the purpose of building a recommendation engine
Requierment2:25

1 - 2 User Based Collaborative Filtering with python0:33
1 - 2 - 1 cosinus similarity14:15
1 - 2 - 2 what is MatrixFactorisation4:21
1 - 2 - 3 Matrix Factorisation UBCF12:46
1 - 2 - 4 what is KNN2:38
1 - 2 - 5 UBCF with KNN7:49
1 - 3 Item Based Collaborative Filtering with python0:12
1 - 3 - 1 cosinus similarity5:19
1 - 3 - 2 Matrix Factorisation IBCF5:38
1 - 3 - 3 IBCF with KNN5:05
1 - 4 Content Based filtering with python0:17
1 - 4 - 1 CB Methode 118:17
1 - 4 - 2 CB Methode 24:23
1 - 5 Context aware recommender system in Python11:35

2-Django website Introduction1:29
2 - 1 what is Django3:21
2 - 2 creating our project and App9:01
2 - 3 Add our models9:11
2 - 4 create admin user5:43
2 - 5 adding views and urls8:19
2 - 6 adding templates7:55
2 - 7 creating Forms8:57
2 - 8 Bootstrap7:25
2 - 9 adding login,logout and Signup pages8:21
2 - 10 loading data from CSV7:08
2 - 11 create our Recommendation view, urls and template2:12
2 - 12 using a machine learning model8:58
3- Cold-start problem what to do3:53
notes and what to do next4:16

Requirements

small knowledge of python syntax will be preferable, but we are going to go step by step to create this website

Description

Recommendation systems are at the heart of almost every internet business today; from Facebook to Netflix to Amazon. 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:

beginner python developers curious about machine learning, data science and Django

Machine Learning Projects: Recommendation system website

What you'll learn

Explore related topics

Course content

Introduction2 lectures • 4min

Recommendation systems with python5 lectures • 13min

RS with python14 lectures • 1hr 33min

Django Recommendation website15 lectures • 1hr 36min

Requirements

Description

Who this course is for: