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:
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Build real client apps with Angular
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Build backend systems using Python3
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Work with MySQL databases
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Integrate to Firebase
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Use Machine Learning algorithms
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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 IDE's
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
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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!
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