I utilized the Kaggle motor car insurance dataset, which has roughly 9k observations.
This project is based on the COVID-19 dataset extracted from Kaggle.
This project's data comes from Kaggle. The World Aircraft Summary, FAA accident statistics, aviation data, and airline accidents provide the foundation for them. These datasets all contain data gathered between 1962 and 2016.
The dataset used in this research study is taken from Kaggle with the goal of illuminating some of the suspicious transactions that can result in AML, TF, or PF.
We extracted this dataset from kaggle, store the data in hadoop and extract the data from hadoop using hive. We also explore data using R-Programming
Dupwies Management Services provided the data used to prepare this project. The primary goal of this analysis is to identify the worst and best client employers among the businesses who lend money to clients of Dupwies organizations.
You must have Microsoft Power BI installed in order to open this report within this project.
We employ two datasets, one of which is from Dupwies Management Services and is utilized to investigate cash loans. And the final Matertrader 4 data set