Building Recommendation Engines in Python

Starting at USD 39.00
4 hours duration

Learn to build recommendation engines in Python using machine learning techniques.

In today's digital landscape, personalized experiences have become the norm. Whether it's Netflix suggesting a show or an online retailer recommending items, these tailored suggestions have become an integral part of our online interactions. However, have you ever wondered how these recommendations are generated? In our comprehensive course, we will equip you with all the necessary knowledge and skills to create your own recommendation engine. Through practical exercises, you will gain a deep understanding of the two most commonly used systems: collaborative filtering and content-based filtering. Furthermore, you will learn how to measure similarities using advanced techniques such as the Jaccard distance and cosine similarity. Additionally, we will delve into evaluating the quality of recommendations by utilizing the root mean square error (RMSE) on test data. By the conclusion of this course, you will have successfully constructed your very own movie recommendation engine. Moreover, you will possess the ability to apply your Python programming skills to develop these systems for any industry.

About Provider

DataCamp
DataCamp
Online Education Provider ยท 410 courses
Description
DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
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