At TECHVOLT software pvt.LTD, I completed an internship project analyzing a laptop price dataset. I cleaned and preprocessed the data, handled missing values, and explored factors such as brand, RAM, storage type, and processor generation.
I used Python, Pandas, NumPy, Matplotlib, and Seaborn to study the data and create visualizations including bar charts, scatter plots, and heatmaps. The analysis highlighted patterns and correlations in laptop prices.
In a related project, I examined laptop features and prices through univariate, bivariate, and multivariate analysis. My work found that laptops with SSD storage and higher RAM generally commanded higher prices.
