What you will learn
How to use Python Pandas for loading dataset
Creating the model in Supervised machine learning
Use pickle to dump the model and vectorizer in the disk
Deploy machine learning model on Django
Description
Become Artificial Intelligence Engineer.
This is step by step course on how to create book classification using machine learning. It covers Numpy, Pandas, Matplotlib, Scikit learn and Django and at the end predictive model is deployed on Django. Most of things machine learning beginner do not know is how they can deploy a created model. How to put created model into application? Training model and getting 80%, 85% or 90% accuracy does not matter. As Artificial Intelligence Engineer you should be able to put created model into application.
Actually, learning how to deploy Machine Learning model created by machine learning is big win for you and is motivating effect towards improving, embracing and learning machine learning. They piece me off when I hear people saying Artificial Intelligence is not really. It is just theoretical study. Let’s learn together how to deploy model, solve peopleβs problems and change people’s mind about Artificial Intelligence.
At the end of this course, you will become Artificial Intelligence by your ability to put created model into application and solve people’s problems. Not only that you will be exposed to some few concepts of Django which is Python web framework and current trending web framework. By understanding Django, you will be able to deploy your previous created model you you could not in the previous time.
Content