Machine Learning Zoomcamp Update: Tuesday, 21 September 2021
Date: 21 September 2021
Today, I completed the Sessions 3.1, 3.2 and 3.3.
Session 3.1 - Churn prediction project
In this session Alexey Grigorev introduced this week's lessions and the project we will be working on this week.
Key takeaways:
- We will learn classification by working on a project using Telco Customer Churn dataset on Kaggle.
Session 3.2 - Data preparation
This session performed data cleaning and pre-processing.
Key takeaways:
- Empty values can be stored as not NaN. For eg.: ' ', '-', '_', etc.
Session 3.3 - Setting up the validation framework
This session explained how to split data using sklearn.
Key takeaways:
- train_test_split can be used to split data.
Estimated Time Taken: 30 minutes