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anomaly-detection

azuremlexamples

capgemini-module1

capstone-battle-_of_the-neighbourhood

This repository contains file of neighborhood analysis of Scarborough

coursera_capstone

This repository is for the capstone project for IBM Coursera Assignment

cvwebsite

data-analysis-of-us-economy

Here i will extract some essential economic indicators from some data, you will then display these economic indicators in a Dashboard.

data-analysis-of-us-economy-

data-science-for-covid-19

COVID-19 Korea Dataset & Comprehensive Medical Dataset & visualizer

data-visualisation

Projects focused on data visualisation

house-sales-in-king-county-usa

This project contains house sale prices for King County, which includes Seattle. It includes homes sold between May 2014 and May 2015.

titanic-survival

vehicle-loan-default-ml-prediction-model

Financial institutions incur significant losses due to the default of vehicle loans. This has led to the tightening up of vehicle loan underwriting and increased vehicle loan rejection rates. The need for a better credit risk scoring model is also raised by these institutions. This warrants a study to estimate the determinants of vehicle loan default. A financial institution has hired you to accurately predict the probability of loanee/borrower defaulting on a vehicle loan in the first EMI (Equated Monthly Instalments) on the due date. Following Information regarding the loan and loanee are provided in the datasets: Loanee Information (Demographic data like age, Identity proof etc.) Loan Information (Disbursal details, loan to value ratio etc.) Bureau data & history (Bureau score, number of active accounts, the status of other loans, credit history etc.) Doing so will ensure that clients capable of repayment are not rejected and important determinants can be identified which can be further used for minimising the default rates.