Full Stack Machine Learning | Django REST Framework, React

About this course

Not just another course, this is a hands-on program where you’ll build a complete, stock prediction portal using Django REST Framework, React.js, and Machine Learning. Course Flow:

First, you'll learn the fundamentals of Django REST Framework, including what REST APIs are and how to create them. If you're already familiar with Django REST Framework, you can skip this section.

Next, we'll dive into the fundamentals of React.js to build the front-end of our application.

After that, we'll connect Django REST Framework with React.js to build the portal. This will include implementing a user authentication system and other essential features needed for a functional application.

Once the portal structure is ready, it's time to dive into machine learning. This course is not a Machine Learning Bootcamp, so it won’t cover every ML concept in detail. Instead, it takes a practical approach focused on building a stock prediction portal as a real-world use case.

Machine Learning Section:

• The basics of machine learning and its different types.
• How to choose the right ML approach for a specific problem.
• When and why to use deep learning and how neural networks work.
• Why a neural network is the best choice for this stock prediction use case.

You'll build an LSTM model in Jupyter Notebook to analyze stock price data and make predictions. Once the model is ready, you’ll create an API to integrate it with the portal and display the results.

This course gives you the full experience of building a real-world stock prediction portal

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