Android App Development with Machine Learning

Top Android with Machine Learning Projects. This course will make you learn Android with ML via these Projects.
Rating: 3.1 out of 5 (44 ratings)
5,597 students
English [Auto]
Android with Machine Learning
Android App Development with Machine Learning


  • Android
  • Be able to understand Machine Learning Basics


Learn Android Development integrated with Machine Learning and make 5 projects that worth place in the resume of any Android developer. Also, Machine Learning is an application of Artificial Intelligence (AI) that empowers software to learn, explore, and envisage outcomes automatically without human interference. Machine learning has been used in numerous fields, and it is now aggressively serving to mobile application development. Machine learning algorithms can do the analysis of targeted user behavior patterns and have searching requests to make suggestions as well as recommendations.  This course will make you learn Android with ML via Projects

(For Source Code :

Who this course is for:

  • Be able to understand basic Android tactics
  • Machine Learning enthusiast
  • Be able to get Java and Kotlin code

Course content

2 sections9 lectures1h 30m total length
  • Setting up the project (For Source Code :
  • XML Design (For Source Code :
  • Face and Smile Detection (For Source Code :
  • Dialog Box (For Source Code :
  • ML integration and Output of Project 1 (For Source Code :


Android Developer
Ankit Sharma
  • 3.3 Instructor Rating
  • 55 Reviews
  • 7,499 Students
  • 2 Courses

I’m a passionate Android developer and work as a freelancer  — not because I have got myself trained in Android engineering, but rather a lot of practical experience in this industry. I’ve done a bunch of app projects. Some were minor and never seen by anyone else, others were medium or large-sized apps with thousands of downloads. These days there’s an app for everything, meaning it’s much harder to create something that you can genuinely be excited about. That wasn’t the case back when I started on Android development. I simply had to find a use case not covered by the OS or the limited number of third party apps on Android Market — and build an app for it myself.