Movie Data Cleaning/Correlation

The Project was carried out in Anaconda(Jupyter). The dataset was obtained from Kaggle. The project involves the cleaning, correlation using Pearson method and visualization of movie data. Relationships between Voters, ratings, Gross, Budget etc were plotted and correlated to generate insights

Housing Data

Housing Data Project in Python involving data cleaning, EDA, correlation, linear and multiple regression, model evaluation and refinement to generate insights.
IDE: Jupyter Notebook
Packages employed: Pandas, Numpy, Matplotlib, Seaborn, Sklearn

New Project

Coming soon.

New Project

Cooming soon

Email

information@untitled.tld

Phone

(000) 000-0000 x12387

Address

1234 Somewhere Road #5432
Nashville, TN 00000
United States of America