Angular/Python - Recommender system

Angular/Python - Recommender system

Interested in recommender systems or do you just want to learn how to build advanced systems consisting of both frontend and backend? Then this course is all you need! You will learn how to setup a API using the programming language Python such that a backend recommender can be remotely called. Furthermore you will learn how to develop a fully working frontend system using Angular and firebase which is capable of presenting user recommendations. 

During this course you will use a vast range of technologies including Angular, Python, Typescript, MySQL and firebase. The course will in other words give you a solid introduction to the development of fully functional web applications where several systems are integrated.

What is TypeScript?

TypeScript is the main language used by the official Angular teams and the language you'll mostly see in Angular tutorials. It's a superset to JavaScript and makes writing Angular apps really easy. Using it ensures, that you will have the best possible preparation for creating Angular apps.

By the end of this course, you'll be able to:

• Build real client apps with Angular

• Build backend systems using Python3

• Work with MySQL databases

• Integrate to Firebase

• Use Machine Learning algorithms

• Consuming HTTP services

The Machine Learning Algorithms used in this course is all based on the Surprise Library which also any Python developer to get started with Machine Learning using just a few lines of code.

Develop and launch your own fully working Recommender System using Python3 and Angular

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What you will learn

• Be able to create and launch a fully working recommender system
• Understand how frontend and backend communicate
• Be able to use both Python and Angular to develop advanced systems

Rating: 4.05

Level: Beginner Level

Duration: 3.5 hours

Instructor: Mark Nielsen