Published 11/2023
Created by Hamza Asif
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 62 Lectures ( 4h 47m ) | Size: 3.26 GB
Train regression models for Flutter | Use regression models in Flutter | Tensorflow Lite models integration in Flutter
What you’ll learn
Train regression models for Mobile Applications
Integrate regression models in Flutter for both Android & IOS
Use of Tensorflow Lite models in Flutter
Train Any Prediction Model & use it in Flutter Applications
Data Collection & Preprocessing for model training
Basics of Machine Learning & Deep Learning
Understand the working of artificial neural networks for model training
Basic syntax of python programming language
Use of data science libraries like numpy, pandas and matplotlib
Analysing & using advance regression models in Flutter Applications
Requirements
Android studio & Flutter installed in your PC
Description
Welcome to the exciting world of Flutter and Linear Regression! 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 delve into the world of deep learning and artificial neural networks, which will serve as the foundation for training our regression models in 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 regression 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.Course Highlights:Training Your First Regression Model:Harness TensorFlow and Python to create a simple regression model.Convert the model into TFLite format, making it compatible with Flutter.Learn to integrate the regression model into Flutter apps for Android and iOS.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.House Price Prediction in Flutter:Master the art of training regression models on substantial datasets.Utilize the trained model within your Flutter app to predict house prices confidently.The Flutter Advantage: By the end of this course, you’ll be equipped to:Train advanced regression models for accurate predictions.Seamlessly integrate regression models into your Flutter applications.Analyze and use existing regression models effectively within the Flutter ecosystem.Who Should Enroll:Aspiring Flutter developers eager to add predictive modeling to their skillset.Enthusiasts seeking to bridge the gap between Machine Learning and mobile app development.Data aficionados interested in harnessing the potential of data for real-world applications.Step into the World of Flutter and Predictive Modeling: Join us on this exciting journey and unlock the potential of Flutter and Linear Regression. 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!
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