Do you want to train Machine Learning Models and use them in Mobile, Web and Desktop applications then welcome to this course. In this course, you will learn to train linear regression models and convert them into tensorflow lite format so that you can use them in mobile, desktop, and edge devices.

Regression is one of the fundamental techniques in Machine Learning which can be used for countless applications. You can train Machine Learning models using regression

• to predict the price of the house

• to predict the Fuel Efficiency of vehicles

• to recommend drug doses for medical conditions

• to recommend fertilizer in agriculture

• to suggest exercises for improvement in player performance

and so on.

The course will is divided into several sections

• Introduction of Machine Learning and its Types

• Basics of Deep Learning & Artificial Neural Networks

• Basic Syntax of Python Programming Language

• Data Science Libraries (Numpy, Pandas, Matplotlib)

• Tensorflow & Tensorflow Lite

• Training a simple linear regression model

• Training an advanced fuel efficiency prediction model

• Building a House Price Prediction Model

Instructor Intro:

My name is Muhammad Hamza Asif and I am the leading Mobile Machine Learning Instructor at Udemy. For the last five years, I am teaching the use of Machine Learning and AI in mobile applications to over 55,000 thousand students worldwide.

Course Overview: We'll begin by exploring the basics of Machine Learning and its various types, and then dive into the world of deep learning and artificial neural networks, which will serve as the foundation for training our Tensorflow Lite models for mobile Applications.

Python Programming: After grasping the core concepts, we'll learn the basic syntax of Python programming, a versatile language that will pave the way for our Machine Learning model training

Unlocking Data's Power: To prepare and analyze our datasets effectively, we'll dive into essential data science libraries like NumPy, Pandas, and Matplotlib. These powerful tools will equip you to harness data's potential for accurate predictions.

Tensorflow for Mobile: Next, we'll immerse ourselves in the world of TensorFlow, a library that not only supports model training using neural networks but also caters to mobile devices.