JESUSC1/IMDb-Data-Analysis-Exercise-Part-1

Utilized Python tools to delve into IMDb data, uncovering trends in title releases and viewer preferences. Visualized patterns in genres and title runtimes, offering insights into evolving media consumption. Applied regression models like linear, polynomial, and random forest to predict title ratings, revealing factors impacting viewer choices.

Jupyter Notebook