Build House Price Prediction App in Flutter with Regression

Train regression models for Flutter | Use regression models in Flutter | Tensorflow Lite models integration in Flutter

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

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.

Course Content

  • Introduction –> 2 lectures • 5min.
  • Machine Learning & Deep Learning for Flutter –> 5 lectures • 31min.
  • Python Programming Language for Flutter –> 6 lectures • 32min.
  • Data Science Libraries for Flutter –> 8 lectures • 31min.
  • Tensorflow & Tensorflow Lite for Flutter –> 6 lectures • 29min.
  • Training a basic regression model for Flutter –> 8 lectures • 42min.
  • Training a Fuel Efficiency Prediction Model for Flutter –> 10 lectures • 46min.
  • Fuel Efficiency Prediction Flutter Application –> 8 lectures • 33min.
  • Training House Price Prediction Model for Flutter –> 5 lectures • 24min.
  • House Price Prediction Flutter Application –> 4 lectures • 18min.

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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:

  1. 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
  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 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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