Machine Learning Recommendation Engine Python Course

1 Training

Short course

Online

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Description

  • Type

    Short course

  • Methodology

    Online

  • Class hours

    24h

  • Duration

    12 Months

  • Start date

    Different dates available

During this excellent Machine Learning – Recommendation Systems in Python learners will focus on key concepts such as content-based filtering, collaborative filtering, neighbourhood models, matrix factorization, and more! This Recommendation Systems in Python course will teach you to build a movie recommendation system in Python by mastering both theory and practice. If you work in analytics, big data, or just want to learn more about machine learning, this course is for you.

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course


"•Learn about Movielens – a famous dataset with movie ratings
•Use Pandas to read and play around with the data
•Learn how to use Scipy and Numpy
•Introduction to Latent Factor Methods
•Introduction to Memory-based Approaches
•Design & implement a Recommendation System in Python
"


These intensive online courses are open to everyone, as long as you have an interest in the topic.

"•You must be 16 or over
•You should have a basic understanding of English, Maths and ICT
•You will need a computer or tablet with internet connection (or access to one)"

Those who successfully pass this course will be awarded a Machine Learning – Recommendation Systems in Python certificate. Anyone eligible for certification will receive a free e-certificate, and printed certificate.



On receiving your request, one of our staff members will call you or send you a message by explaining everything about the course you are requesting information including how you can sign up, payment options, exam and enrollment requirements etc.

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This centre's achievements

2018

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 9 years

Subjects

  • Systems
  • Amazon
  • Collaborative Filtering
  • Content-based filtering
  • Neighbourhood models
  • Matrix factorization
  • Netflix
  • Gray Sheep & Shillings
  • Apriori Algorithm

Teachers and trainers (1)

Vitthal Srinivasan

Vitthal Srinivasan

Flipkart, Credit Suisse and INSEAD

Course programme

"

· Module 01: Introduction: You, This Course & Us!

· Module 02: What Do Amazon And Netflix Have In Common?

· Module 03: Recommendation Engines: A Look Inside

· Module 04: What Are You Made Of? Content-Based Filtering

· Module 05: With a Little Help From Friends: Collaborative Filtering

· Module 06: A Model for Collaborative Filtering

· Module 07: Top Picks for You! Recommendations with Neighborhood Models

· Module 08: Discover the Underlying Truth: Latent Factor Collaborative Filtering

· Module 09: Latent Factor Collaborative Filtering Continued

· Module 10: Gray Sheep & Shillings: Challenges With Collaborative Filtering

· Module 11: The Apriori Algorithm for Association Rules

· Module 12: Installing Python: Anaconda & Pip

· Module 13: Back To Basics: Numpy in Python

· Module 14: Back To Basics: Numpy & Scipy in Python

· Module 15: Movielens & Pandas

· Module 16: Code Along: What’s My Favorite Movie? – Data Analysis with Pandas

· Module 17: Code Along: Movie Recommendation With Nearest Neighbor CF

· Module 18: Top Picks for You! Recommendations with Neighborhood Models

· Module 19: Discover the Underlying Truth: Latent Factor Collaborative Filtering

· Module 20: Latent Factor Collaborative Filtering Continued

· Module 21: Gray Sheep & Shillings: Challenges With Collaborative Filtering

· Module 22: The Apriori Algorithm for Association Rules

"

Additional information

"Method of Assessment ·         You will have one assignment. Pass mark is 65%. ·         You will only need to pay £19 for assessment. ·         You will receive the results within 72 hours of submittal, and will be sent a certificate in 7-14 days.
What careers can you get with this qualification?  Once you have completed this Machine Learning – Recommendation Systems in Python course you will have desirable skills. You could go on to further study of machine learning and Python, or could gain entry level employment in this area. These roles often command a high salary, for example, the average salary of a Data Scientist in the UK is £38,455 (payscale.com). When you complete this Machine Learning – Recommendation Systems in Python, you could fulfil any of the following roles: ·         Data Scientist ·         Big Data Specialist ·         Data Architect ·         Data Analyst"

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Machine Learning Recommendation Engine Python Course

£ 19 VAT inc.

The best Analysis and Development courses

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See all