Skip to content

In this project, I used the data from movies dataset in Kaggle and analyzed what variables affect the gross revenue. Then, I created a correlation matrix heatmap and regression plot by using Matplotlib and Seaborn. Also, I processed data by converting all non-numeric variables into numeric ones and then normalized this converted data.

Notifications You must be signed in to change notification settings

yigidatalp/Movies_Correlation

Repository files navigation

Movies_Correlation

In this project, I used the data from movies dataset in Kaggle and analyzed what variables affect the gross revenue. Then, I created a correlation matrix heatmap and regression plot by using Matplotlib and Seaborn. Also, I processed data by converting all non-numeric variables into numeric ones and then normalized this converted data.

Skills

Python

Pandas

Matplotlib

Seaborn

About

In this project, I used the data from movies dataset in Kaggle and analyzed what variables affect the gross revenue. Then, I created a correlation matrix heatmap and regression plot by using Matplotlib and Seaborn. Also, I processed data by converting all non-numeric variables into numeric ones and then normalized this converted data.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages