Neural Network for classification

Today you will apply the deep learning concepts you have explored to learn a classification model. In this section, you will work with tabular data to diversify your deep learning skill set and gain an array of neural network concepts at your disposal. With these in hand, you will be able to work on a wider array of projects such as classifying pictures of galaxies! in upcoming weeks.

Learning Objective:

• Use your deep learning knowledge to perform classification

Implementing Neural Networks for Classification

For today, follow the course available on classification in Codecademy.

You should follow the course and make notes of things you are learning in your own words in your DL-notes.docx file in your Block C Microsoft Teams assignment.

Also, if you are using notebook other than Codecademy session, make sure you upload them to your Block C Github repository.

Codecademy Module : 4. Classification

Article

• 1) Regression vs. Classification

Lesson

• 1) Classification

Project

• 1) Classification - to predict the survival of patients with heart failure from serum creatinine and ejection fraction, and other factors such as age, anemia, diabetes, and so on

Note

Do remember to visit your Block B notes on accuracy and confusion matrix in order to understand F1 better. Then read blog to get a basic understanding of how to calculate F1-score