Linear Regression & Python - Train ML models for Mobile Apps

Learn to train Linear Regression Models for Mobile Apps using Tensorflow and Tensorflow Lite With Practical Projects


What you'll learn
Train your own linear regression models in Python for Mobile Applications
Export Linear Regression Models into Tensorflow Lite for use in Mobile Applications
Train a fuel price prediction model and convert it into tensorflow lite format to use it in mobile applications
Train a house price prediction model and convert it into tensorflow lite format to use it in mobile applications
Learn Basics of Machine Learning and Deep learning
Learn Basic Syntax of Python Programming Language
Learn about different data science libraries like Numpy, Pandas and Matplotlib
Learn use of Tensorflow & Tensorflow Lite for training linear regression models in Python

Requirements
Basic understanding of Python or any programming language will be a plus

Description
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

More Info