Take advantage of a coupon code for the 'Python Machine Learning - Recommender systems with Angular' course, created by Mark Nielsen, available on Udemy.
This course, updated on January 06, 2025 and will be expired on 2025/01/07
This course provides 3 hour(s) 30 minute(s) of expert-led training in English , designed to boost your Web Development skills.
Highly rated at 4.0-star stars from 60 reviews, it has already helped 8,155 students.
This exclusive coupon is shared by Anonymous,
at the price
19.99 $
9.99 $
Don’t miss this opportunity to level up your skills!
You can find the discounted coupon code for this course at the end of this article
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.