What you'll learn

Train Machine Learning models for IOS Swift Applications

Integrate Machine Learning models in IOS with SwiftUI

Use of Tensorflow Lite models in IOS Swift App

Analysing & using advance regression models in IOS Swift Applications

Train a machine learning model and build a house price prediction IOS Application

Train a machine learning model and build a fuel efficiency prediction IOS Swift Application

Train Any Prediction Model & use it in IOS Swift Applications

Data Collection & Preprocessing for ML model training for IOS Swift Application

Basics of Machine Learning & Deep Learning for training Machine learning Models for smart IOS App Development

Understand the working of artificial neural networks for training machine learning for IOS Swift Apps

Basic syntax of python programming language to train ML models for IOS Swift Applications

Use of data science libraries like numpy, pandas and matplotlib

Requirements

XCode Installed on your MAC

Description

Do you want to train different Machine Learning models and build smart IOS applications then Welcome to this course.Regression is one of the fundamental techniques in Machine Learning which can be used for countless applications. Like you can train Machine Learning models using regression to predict the price of the houseto predict the Fuel Efficiency of vehiclesto recommend drug doses for medical conditionsto recommend fertilizer in agriculture to suggest exercises for improvement in player performanceand so on. So Inside this course, you will learn to train your custom machine learning models in Tensorflow lite and build smart IOS Swift applications.I'm Muhammad Hamza Asif, and in this course, we'll embark on a journey to combine the power of predictive modeling with the flexibility of IOS app development. Whether you're a seasoned IOS developer or new to the scene, this course has something valuable to offer youCourse 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 IOS Applications.The IOS-ML Fusion: After grasping the core concepts, we'll bridge the gap between IOS and Machine Learning. To do this, we'll kickstart our journey with Python programming, a versatile language that will pave the way for our Machine Learning model trainingUnlocking 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.Course Highlights:Training Your First Regression Model:Use TensorFlow and Python to create a simple regression modelConvert the model into TFLite format, making it compatible with IOS SwiftLearn to integrate the TFLite model into IOS Swift appsFuel Efficiency Prediction in IOS:Apply your knowledge to a real-world problem by predicting automobile fuel efficiencySeamlessly integrate the model into a IOS Swift app for an intuitive fuel efficiency prediction experienceHouse Price Prediction in IOS:Master the art of training regression models on substantial datasetsUtilize the trained model within your IOS app to predict house prices confidentlyThe IOS Advantage: By the end of this course, you'll be equipped to:Train advanced regression models for accurate predictionsSeamlessly integrate ML models into your IOS Swift applicationsAnalyze and use existing tflite models effectively within the IOS Swift ecosystemWho Should Enroll:Aspiring IOS developers eager to add predictive modeling to their skillsetBeginner IOS Swift developer with very little knowledge of mobile app development Intermediate IOS Swift developer wanted to build a powerful Machine Learning-based application in IOS SwiftExperienced IOS Swift developers wanted to use Machine Learning models inside their IOS applications.Enthusiasts seeking to bridge the gap between Machine Learning and IOS app developmentStep into the World of IOS and Predictive Modeling: Join us on this exciting journey and unlock the potential of IOS and Machine Learning. By the end of the course, you'll be ready to develop IOS applications that not only look great but also make informed, data-driven decisions.Enroll now and embrace the fusion of IOS and Machine Learning