Week 4 - Versioning with Git and Data Preparation (Part 2)

This week we will...

cover the following topics:

• Versioning with Git in a Team

• Important Issues to Consider for Feature Engineering

• Introduction into Analyzing Time Series Data

Learning Resources

2MB

251112_Intro to git and data preparation (Part 2).pdf

PDF

Open

Until next week you should...

• meet with your team to discuss potential additional variables to be created for sales prediction (including whether there are any additional data sources you can use).

• analyze the time series data for the 6 product groups using moving averages, percent change, or segmentation (see learning material).

• update the "Data Import and Preparation" directory in your team repository to include:

  • Additional downloaded or self-created data (e.g., holiday lists)

  • Code to merge all data into one dataset

  • Code to create new variables or prepare existing variables for prediction

• Get A Kaggle account and review the course competition under: https://www.kaggle.com/t/d832497c95d744de915ad9eb80ad9ed6

• watch the following videos from the DeepLearning.AI course on Python for Data Analytics to get an idea about how to analyze time series data:

  • DateTimes (5 minutes)

  • Using DateTimes as Indices (3 minutes)

  • Moving Averages (5 minutes)

  • Percent Change (4 minutes)

  • Segmentation (5 minutes)

(You need to create a free account with DeeplLearning.AI.)