• Train Machine Learning models for Flutter Applications
• Train Image Classification and Object Detection Models for Flutter Apps
• Train Linear Regression Models for Flutter Apps
• Integrate Tensorflow Lite models in Flutter for both Android & IOS
• Use Computer Vision Models with both Images and Live Camera Footage
• Train a machine learning model and build a fuel efficiency prediction Flutter Application
• Train a machine learning model and build a house price prediction Flutter Application
• Analysing & using advance regression models in Flutter Applications
• Train Any Prediction Model & use it in Flutter Applications
• Data Collection & Preprocessing for ML model training for Flutter Application
• Basics of Machine Learning & Deep Learning for training Machine learning Models
• Understand the working of artificial neural networks for training machine learning for Flutter
• Basic syntax of python programming language to train ML models for Flutter
• Use of data science libraries like numpy, pandas and matplotlib
• Train a fruit classification model and build a Fruit Recognition Flutter Application

Do you want to train different Machine Learning models and build smart Android & IOS applications in Flutter then Welcome to this course.

In this course, you will learn to

• train powerful image classification, object detection, and linear regression models in Python from scratch

• Then we will use these models in Flutter to build smart Flutter Apps

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 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. So Inside this course, you will learn to train your custom machine learning models for Flutter and build smart Android & IOS applications in Flutter.

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 Flutter app development. Whether you’re a seasoned Flutter developer or new to the scene, this course has something valuable to offer you

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 machine learning models for Flutter.

The Flutter-ML Fusion: After grasping the core concepts, we’ll bridge the gap between Flutter 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 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, including Flutter

Regression Models Training

1. Training Your First Machine Learning Model:

   • Harness TensorFlow and Python to create a simple linear regression model

   • Convert the model into TFLite format, making it compatible with Flutter

   • Learn to integrate the tflite model into Flutter apps for Android and iOS

2. Fuel Efficiency Prediction:

   • Apply your knowledge to a real-world problem by predicting automobile fuel efficiency

   • Seamlessly integrate the model into a Flutter app for an intuitive fuel efficiency prediction experience

3. House Price Prediction in Flutter:

   • Master the art of training machine learning models on substantial datasets

   • Utilize the trained model within your Flutter app to predict house prices confidently

Computer Vision Model Training

1. Image Classification in Flutter:

   • Collect and process dataset for model training

   • Train image classification models on custom datasets

   • Use image classification models in Flutter with both images and live camera footage

2. Object Detection in Flutter

   • Use object detection models of ML Kit in Flutter

   • Train Custom Image Classification models and use them to classify detected objects

   • Perform Object Detection with both Images and Live Camera Footage

The Flutter Advantage: By the end of this course, you’ll be equipped to:

• Train advanced machine learning models for accurate predictions

• Seamlessly integrate tflite models into your Flutter applications

• Analyze and use existing regression & vision (ML) models effectively within the Flutter ecosystem

Who Should Enroll:

• Aspiring Flutter developers eager to add predictive modeling to their skillset

• Beginner Flutter ( Dart ) developer with very little knowledge of mobile app development in Google Flutter

• Intermediate Flutter ( Dart ) developer wanted to build a powerful Machine Learning-based application in Google Flutter

• Experienced Flutter ( Dart ) developers wanted to use Machine Learning models inside their applications.

Step into the World of Flutter and Predictive Modeling: Join us on this exciting journey and unlock the potential of Flutter and Machine Learning. By the end of the course, you’ll be ready to develop Flutter applications that not only look great but also make informed, data-driven decisions.

Enroll now and embrace the fusion of Flutter and predictive modeling!

Who this course is for:

• Beginner Flutter Developer who want to train ML models and build Machine Learning based Flutter Applications
• Aspiring Flutter developers eager to add ML modeling to their skillset
• Enthusiasts seeking to bridge the gap between Machine Learning and mobile app development.
• Machine Learning Engineers looking to build real world applications with Machine Learning Models