Description
In this course, you will learn :
- How to Load a Dataset Using Python Pandas
- Supervised machine learning is used to build the model.
- Pickle can be used to save the model and vectorizer to disc.
- Django is used to deploy a machine learning model.
Syllabus :
1. Loading Datase And Exploration
- Loading Dataset
- Data Exploration
2. Feature Extraction And Fit The Model
- Feature Extraction And Split Dataset
- Fit The Model And Checking Accuracy
3. Making Predictions3 lectures • 37min
- Making Prediction Book's Phrase
- Dump And Load The Model
- Making Prediction of Books
4. Model Deployment
-
Deploying Model On Django Framework