Week 6 of the data science journey focuses on Exploratory Data Analysis (EDA) and Feature Engineering using the Google Play Store dataset.
EDA involves analyzing and visualizing data to uncover patterns and relationships before modeling, while Feature Engineering improves model performance by creating or transforming features.
The Google Play Store dataset includes app details like ratings, reviews, size, installs, and categories. Data cleaning and feature creation are key steps in preparing the dataset.
Insights from the analysis include identifying the most popular app category by installs, performing univariate analysis on numerical and categorical features, and answering specific questions based on the clean data.