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This project is designed to streamline the data science workflow by allowing users to input a file path and receive a comprehensive analysis tailored to their needs. The tool automates key stages in the data science pipeline, including Exploratory Data Analysis (EDA), data preprocessing, and model training.
The project provides insights and recommendations to improve the operations of a fictional pizza restaurant by analyzing daily and hourly order volume, utilization of seating capacity, performance of menu items, and inventory of over 48,000 rows of transaction data through data modeling and visualization in Power BI.
This repository contains a Multi-Page Dash Application designed to provide interactive visualizations of geo-spatial data, focusing on population and GDP. The app offers insights into demographic and economic trends through interactive maps and various types of charts. It is built with Python, using Plotly and Dash, and is deployed on Heroku.
A ML application focused on exploratory data analysis and football analytics, featuring data visualization and insights using Python and relevant libraries.
A data visualization dashboard built with Dash and Plotly to explore women's representation in parliaments worldwide and is deployed on Heroku and PythonAnywhere.
A ML application focused on exploratory data analysis and football analytics, featuring data visualization and insights using Python and relevant libraries.