Python Machine Learning Recommender systems with Angular

Python Machine Learning – Recommender systems with Angular, available at $29.99, has an average rating of 4.05, with 35 lectures, based on 60 reviews, and has 7154 subscribers.

You will learn about 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 This course is ideal for individuals who are Anyone with an interest in Machine Learning or Beginner/intermediate developers or Anyone with an interest in Frontend development It is particularly useful for Anyone with an interest in Machine Learning or Beginner/intermediate developers or Anyone with an interest in Frontend development.

Enroll now: Python Machine Learning – Recommender systems with Angular

Summary

Title: Python Machine Learning – Recommender systems with Angular

Price: $29.99

Average Rating: 4.05

Number of Lectures: 35

Number of Published Lectures: 35

Number of Curriculum Items: 40

Number of Published Curriculum Objects: 40

Original Price: $199.99

Quality Status: approved

Status: Live

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

Who Should Attend

Anyone with an interest in Machine Learning

Beginner/intermediate developers

Anyone with an interest in Frontend development

Target Audiences

Anyone with an interest in Machine Learning

Beginner/intermediate developers

Anyone with an interest in Frontend development

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.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: System overview

Lecture 3: Install IDEs

Chapter 2: Angular Website

Lecture 1: Install npm/angular Cli

Lecture 2: Create the Angular project

Lecture 3: Add Bootstrap

Lecture 4: Navigation and Routing

Lecture 5: Login page and Dashboard

Chapter 3: Mysql

Lecture 1: Download Mysql Workbench

Lecture 2: Sql Connection

Lecture 3: Database Theory

Lecture 4: Schema and tables

Lecture 5: Add Data

Chapter 4: Python Backend Recommender

Lecture 1: Install Python

Lecture 2: Get Backend Recommender

Lecture 3: Flask Api

Lecture 4: Combine recommender and Angular app

Lecture 5: Change returned Data

Chapter 5: Application Styling (Optional)

Lecture 1: Style Intro

Lecture 2: Apply CSS and images

Chapter 6: Authentication (Firebase)

Lecture 1: Create Firebase project

Lecture 2: Firebase Settings

Lecture 3: Signup/login methods

Lecture 4: Create User

Lecture 5: User Login

Chapter 7: Update Backend

Lecture 1: Insert user in Database part 1

Lecture 2: Insert user in Database part 2

Lecture 3: Load User from Database using Firebase ID

Lecture 4: Fetch data from new user

Lecture 5: Display data in Application

Chapter 8: Save user rating through web app

Lecture 1: Add frontend rating view

Lecture 2: Add stars to rating view

Lecture 3: Save Item rating made by User

Lecture 4: Final changes

Chapter 9: Optional Angular functionality

Lecture 1: Angular Routing – How To Pass Parameters

Instructors

Mark Nielsen
Software Developer

Rating Distribution

1 stars: 7 votes

2 stars: 1 votes

3 stars: 7 votes

4 stars: 22 votes

5 stars: 23 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!