Assessment mode Assignments or Quiz
Tutor support available
International Students can apply Students from over 90 countries
Flexible study Study anytime, from anywhere

Overview

Global Certificate Course in Feature Engineering for Recommendation Systems

Designed for data scientists and machine learning enthusiasts, this comprehensive course delves into the intricate process of feature engineering for recommendation systems. Learn to extract, transform, and select relevant features to enhance the performance of recommendation algorithms. Gain hands-on experience with real-world datasets and advance your skills in building effective recommendation systems. Elevate your career in the field of data science and AI with this specialized training.

Start your learning journey today and master the art of feature engineering for recommendation systems!

Feature Engineering for Recommendation Systems Training offers a comprehensive global certificate course focusing on enhancing data science and machine learning training skills. Participants will delve into hands-on projects and real-world examples to develop data analysis skills essential for building effective recommendation systems. This self-paced learning program covers key concepts like data preprocessing, feature selection, and engineering techniques. By the end of the course, students will gain practical experience in optimizing algorithms for personalized recommendations. Elevate your career in data science with this cutting-edge training.
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Course structure

• Introduction to Feature Engineering for Recommendation Systems
• Data Preprocessing and Cleaning
• Feature Selection and Dimensionality Reduction
• Feature Transformation Techniques
• Handling Categorical and Text Features
• Feature Engineering for Collaborative Filtering
• Feature Engineering for Content-Based Filtering
• Feature Engineering for Hybrid Recommendation Systems
• Evaluating and Iterating Feature Engineering Techniques
• Case Studies and Real-world Applications in Recommendation Systems

Duration

The programme is available in two duration modes:

Fast track - 1 month

Standard mode - 2 months

Course fee

The fee for the programme is as follows:

Fast track - 1 month: £140

Standard mode - 2 months: £90

Embark on a transformative journey with our Global Certificate Course in Feature Engineering for Recommendation Systems. This comprehensive program equips you with the skills and knowledge needed to excel in the field of recommendation systems. By mastering feature engineering techniques, you will be able to create more effective and accurate recommendation algorithms, leading to enhanced user experiences and increased business value.


The course covers a range of topics, including data preprocessing, feature selection, and model evaluation, all essential for building robust recommendation systems. Throughout the program, you will learn how to leverage Python programming to manipulate data and extract meaningful features that drive personalized recommendations. By the end of the course, you will have a deep understanding of feature engineering best practices and their application in recommendation systems.


Designed to be flexible and accessible, this self-paced course allows you to learn at your own convenience, making it ideal for busy professionals looking to upskill. Whether you're a data scientist, software engineer, or business analyst, this course will provide you with the expertise needed to stay ahead in the rapidly evolving field of recommendation systems. Stay relevant and competitive in today's tech landscape with our Global Certificate Course in Feature Engineering for Recommendation Systems.

Global Certificate Course in Feature Engineering for Recommendation Systems

According to a recent study, 87% of UK businesses face cybersecurity threats, highlighting the growing need for professionals with ethical hacking and cyber defense skills. In today's market, the demand for experts in recommendation systems is also on the rise.

Year Number of Cybersecurity Threats
2018 450
2019 600
2020 750
2021 900

Career path