Description:
This case study delves into the MovieLens dataset, exploring user ratings and movie preferences. Through descriptive analytics and exploratory data analysis, the study uncovers insights into movie ratings, genre popularity, and demographic preferences.

Techniques Used:
Data Visualization: Seaborn and Matplotlib
Descriptive Analytics: Summarizing and interpreting data trends
Data Manipulation: Pandas for data merging, grouping, and aggregation
Exploratory Data Analysis (EDA): Analyzing data shapes, types, and statistical summaries

Domain: Internet and Entertainment