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Had to develop a customer segmentation to define marketing strategy. The dataset summarized the usage behavior of about 9000 active credit card holders during the last 6 months. The file is at a customer level with 18 behavioral metrics..
In this project, we are going to analyze international debt data collected by The World Bank. The dataset contains information about the amount of debt (in USD) owed by developing countries across several categories.
Project for a data structures course. Programming language C++ used. In order to efficiently organise, analyse, store, and retrieve information from a computer, data structures are a specific manner of grouping data in a specialised format. They are a method of managing data that makes it simple to utilise. To manage the huge data, we have applied.
A Python data manipulation and analysis project that examines and visualizes the popularity of widely used data science tools R and Pandas across 3 Stack Exchange subcommunities (Stack Overflow, Cross Validated, Data Science) through the use of the Stack Exchange API and multiple Python libraries such as Pandas, JSON, Requests, and Matplotlib.
data = pd.read_github('My / Python / Repository.github') Conents = ["Practice", "Assignments"] sub_contents = ({"Practice" : "All notebooks created during course", "Assignments" : "Basic to Advance"})
The Console-Based GPA project is a Java application designed to facilitate GPA calculations for students through a simple command-line interface. The project consists of a set of classes that collectively manage the user's academic courses, grades, and overall GPA.
Explore comprehensive retail analysis and insights focusing on Marley International Store, powered by data analytics techniques and visualizations using Python, PowerBI and Jupyter Notebooks.
In this project, I used a combination of data manipulation and visualization to explore television data. I also looked at Super Bowl Data, generating insights into game outcomes, viewership, and even halftime shows.