Market Basket Analysis in Python

Course Cover

5

(3)

compare button icon
Course Report - Market Basket Analysis in Python

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

Course Features

icon

Duration

4 hours

icon

Delivery Method

Online

icon

Available on

Limited Access

icon

Accessibility

Mobile, Desktop, Laptop

icon

Language

English

icon

Subtitles

English

icon

Level

Intermediate

icon

Teaching Type

Self Paced

icon

Video Content

4 hours

Course Description

What do Amazon's product recommendations and Netflix movie recommendations have in common? Both use Market Basket Analysis, which is a powerful tool that transforms large amounts customer transaction data and viewing data into simple rules for recommending products. This course will show you how to perform Market Basket Analysis using the Apriori algorithm, standard and custom metrics, association rules, and pruning. Interactive exercises will allow you to strengthen your skills and make recommendations for small grocery stores and libraries, ebook sellers, novelty gift shops, and movie streaming service providers. Hidden insights will help you make better recommendations to your customers.

blur
blur

Highlights

blur

Rating & Reviews

Top 30 Percentile

blur

Pedagogy

Top 20 Percentile

blur

Parameters

cv-icon

Pedagogy

Acquire all major Data Analytics skills in this course for seamless integration into your daily life. Develop a versatile skill set, allowing you to confidently apply what you've learned in various practical scenarios, enhancing your daily experiences and overall proficiency. An exceptional course in Data Analytics, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs.

cv-icon

Rating & Reviews

This highly acclaimed course is among the top-rated in Data Analytics, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in Data Analytics.

Course Overview

projects-img

Virtual Labs

projects-img

International Faculty

projects-img

Post Course Interactions

projects-img

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Data Manipulation with pandas

What You Will Learn

Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations

In this course, you’ll learn how to perform Market Basket Analysis using the Apriori algorithm, standard and custom metrics, association rules, aggregation and pruning, and visualization

You’ll then reinforce your new skills through interactive exercises, building recommendations for a small grocery store, a library, an e-book seller, a novelty gift retailer, and a movie streaming service

Course Instructors

Author Image

Isaiah Hull

Economist

Isaiah Hull is a senior economist in the research division at Sweden's Central Bank (Sveriges Riksbank) and the author of Machine Learning for Economics and Finance in TensorFlow 2. He holds a PhD in...

Course Reviews

Average Rating Based on 3 reviews

5.0

100%

Course Cover