Pinned Repositories
Blog
Gitcom
personal portfolio static website
GTL
GTL Tech assessment
HireMe
web base online labour hiring system
icbt-22
Loan-Prediction-Analysis-
Dream Housing Finance company deals in all home loans. They have presence across all urban, semi urban and rural areas. Customer first apply for home loan after that company validates the customer eligibility for loan. Company wants to automate the loan eligibility process (real time) based on customer detail provided while filling online application form. These details are Gender, Marital Status, Education, Number of Dependents, Income, Loan Amount, Credit History and others. To automate this process, they have given a problem to identify the customers segments, those are eligible for loan amount so that they can specifically target these customers. This is a standard supervised classification task.A classification problem where we have to predict whether a loan would be approved or not. Below is the dataset attributes with description.
medicle-Insurace-Claim-Prediction-Machine-Learning-webApp
Machine Learning with R by Brett Lantz is a book that provides an introduction to machine learning using R. As far as I can tell, Packt Publishing does not make its datasets available online unless you buy the book and create a user account which can be a problem if you are checking the book out from the library or borrowing the book from a friend. All of these datasets are in the public domain but simply needed some cleaning up and recoding to match the format in the book.
Messenger-App-VueJS-and-Laravel
Messenger Application example using Laravel 5.6 and Vue.JS 2
Rock_Paper_Scissors_Game_Java_OOP_Project
Student_Result_app
Online result/student management system
wiahwajith's Repositories
wiahwajith/Blog
wiahwajith/HireMe
web base online labour hiring system
wiahwajith/Gitcom
personal portfolio static website
wiahwajith/GTL
GTL Tech assessment
wiahwajith/icbt-22
wiahwajith/Loan-Prediction-Analysis-
Dream Housing Finance company deals in all home loans. They have presence across all urban, semi urban and rural areas. Customer first apply for home loan after that company validates the customer eligibility for loan. Company wants to automate the loan eligibility process (real time) based on customer detail provided while filling online application form. These details are Gender, Marital Status, Education, Number of Dependents, Income, Loan Amount, Credit History and others. To automate this process, they have given a problem to identify the customers segments, those are eligible for loan amount so that they can specifically target these customers. This is a standard supervised classification task.A classification problem where we have to predict whether a loan would be approved or not. Below is the dataset attributes with description.
wiahwajith/medicle-Insurace-Claim-Prediction-Machine-Learning-webApp
Machine Learning with R by Brett Lantz is a book that provides an introduction to machine learning using R. As far as I can tell, Packt Publishing does not make its datasets available online unless you buy the book and create a user account which can be a problem if you are checking the book out from the library or borrowing the book from a friend. All of these datasets are in the public domain but simply needed some cleaning up and recoding to match the format in the book.
wiahwajith/Messenger-App-VueJS-and-Laravel
Messenger Application example using Laravel 5.6 and Vue.JS 2
wiahwajith/Rock_Paper_Scissors_Game_Java_OOP_Project
wiahwajith/Student_Result_app
Online result/student management system
wiahwajith/TaskManageApplication
Task Manage Application laravel + vue + inertia
wiahwajith/Web-Scraping-with-laravel
wiahwajith/web_scrap
web scrap data mining platform