Python Machine Learning - Recommender systems with Angular

Fullstack Recommender System using Python3 and Angular - E-commerce Machine Learning Using Python and Firebase

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Python Machine Learning - Recommender systems with Angular

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

Description

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.