Flutter and Linear Regression: Build Prediction Applications in Flutter | Tensorflow Lite
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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.
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