Course Description

Machine Learning Recommendation Engine Python

1 Training



Machine Learning Recommendation Engine Python

Course Description:

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.

Our learning material is available to students 24/7 anywhere in the world, so it’s extremely convenient. These intensive online courses are open to everyone, as long as you have an interest in the topic! We provide world-class learning led by IAP, so you can be assured that the material is high quality, accurate and up-to-date.

What skills will I gain?

  • 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

Meet the Instructor:

Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi, and Navdeep Singh have honed their tech expertise at Google and Flipkart. Together, they have created dozens of training courses and are excited to be sharing their content with eager students. The team believes it has distilled the instruction of complicated tech concepts into enjoyable, practical, and engaging courses.

  • Janani: 7 years at Google (New York, Singapore); Studied at Stanford; also worked at Flipkart and Microsoft
  • Vitthal: Also Google (Singapore) and studied at Stanford; Flipkart, Credit Suisse and INSEAD too
  • Swetha: Early Flipkart employee, IIM Ahmedabad and IIT Madras alum
  • Navdeep: Longtime Flipkart employee too, and IIT Guwahati alum

How will I be assessed?

  • 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 Certification am I going to receive?

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.

Course Curriculum Total Units : 22
1: Introduction: You, This Course & Us!
2: What do Amazon and Netflix have in common?
3: Recommendation Engines: a look inside
4: What are you made of? Content-Based Filtering
5: With a little help from friends: Collaborative Filtering
6: A Model for Collaborative Filtering
7: Top Picks for You! Recommendations with Neighborhood Models
8: Discover the Underlying Truth: Latent Factor Collaborative Filtering
9: Latent Factor Collaborative Filtering continued
10: Gray Sheep & Shillings: Challenges with Collaborative Filtering
11: The Apriori Algorithm for Association Rules
12: Installing Python : Anaconda & PIP
13: Back to Basics: Numpy in Python
14: Back to Basics: Numpy & Scipy in Python
15: Movielens & Pandas
16: Code Along: What’s my favorite movie? – Data Analysis with Pandas
17: Code Along: Movie Recommendation with Nearest Neighbor CF
18: Top Picks for You! Recommendations with Neighborhood Models
19: Discover the Underlying Truth: Latent Factor Collaborative Filtering
20: Latent Factor Collaborative Filtering continued
21: Gray Sheep & Shillings: Challenges with Collaborative Filtering
22: The Apriori Algorithm for Association Rules


College Name 1 Training
Course Category Computers & IT (Information Technology)
Course Location Dublin, Ireland
Course Fee 18
Course Duration Guided Learning Hours 05
Entry Requirements • 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)
Career Path • Data Scientist • Big Data Specialist • Data Architect • Data Analyst
For information about 1 Training, please visit our college page on www.nightcourses.com by clicking here.

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1 Training



63/66 Hatton Garden, 5th Floor, Suite 23, London. EC1N 8LE, Dublin, United Kingdom

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63/66 Hatton Garden, 5th Floor, Suite 23, London. EC1N 8LE, Dublin, United Kingdom

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