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.

Analyzing various apps found on the Google Play Store with the help of different python libraries. The dataset is chosen from Kaggle. It is the web scraped data of 10k Play Store apps for analyzing the Android market. It consists of in total of 10841 rows and 13 columns.

Prediction of the delay between the creation of an order and the beginning of the shipment. Dataset from the database of a company.

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.

Explore a dataset from Kaggle containing a century's worth of Nobel Laureates. Who won? Who got snubbed?

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.

Use data manipulation and visualization to explore one of two different television broadcast datasets: The Super Bowl and hit sitcom The Office!

A Fitness Company wants to know the customer behavior towards the threadmill and want recommendations to increase its profits.

data = pd.read_github('My / Python / Repository.github') Conents = ["Practice", "Assignments"] sub_contents = ({"Practice" : "All notebooks created during course", "Assignments" : "Basic to Advance"})

Analyzing Taxi Data

Some R commands that might be handy for data manipulations and exploratory data analysis.

This repository is for newcomers into the data science world. It Summarizes three key areas Data Exploration,Manipulation and Data Cleaning

Data Analysis Project using Python(Numpy, Pandas, Seaborn, matplotlib)

this repository is created to the learning purpose of R programming language

An interactive PowerBI dashboard that presents insights into Udemy courses' revenue performance.

Datacamp Projects

This project builds an automatic credit card approval predictor using machine learning techniques, just like the real banks do.

In 1847, the Hungarian physician Ignaz Semmelweis made a breakthough discovery: he discovers handwashing. Contaminated hands was a major cause of childbed fever and by enforcing handwashing at his hospital he saved hundreds of lives.

This repository contain all frequency ask interview questions in data structure and algo.