There are no reviews yet. Be the first to send feedback to the community and the maintainers!
todo-list
Vanilla Javascript TODO List AppHackerEarthCodingChallenges
Coding Challenges from HackerEarth websiteGeekTrustFindingFalconeChallenge
This is a frontend coding challenge from geektrust.in websiteSorting-Algorithms-Benchmarking-App
Java program which allows the user to choose array size, sorting algorithm, worst, best or average case complexity. Based on the input, program will display the time consumption of the selected sorting algorithmcustom-gallery
Custom gallery android app. We can select multiple images and display them in our current activity in grid layout fashionDaggerBirdShooter
jsons
sample jsons for testingGuessTheWord
kpradeepkumarreddy
OmniCurisTestQuizApp
omni curis test quiz appQtQml-ContactsApp
Read contacts from Android and display in QML and also listen to contacts changes and update QML side accordingly.RecipeCalculator
Recipe Calculator App using FlutterEmojiPicker
Emoji pickerQtQmlAndroidContactsApp
tesla-clone-react-native
WeatherForecast
SimplilearnFullStackPhase1Project
PaginationInRecyclerView
pagination in recycler viewBlueRoseAndroidAssignment
BlueRose Technologies android assignmentSongsList
songs list in json fileQtQml-MediaPlayer
Qt Qml Media PlayerGeekTrustGoldenCrownChallenge
This is one of backend coding challenges from geektrust.in website.Investment-analysis-for-an-asset-management-company
Asset management company wants to understand the global trends in investments so that they can take the investment decisions effectively.lending-club-case-study
A consumer finance company lends various types of loans to urban customers. When the company receives a loan application, the company has to make a decision for loan approval based on the applicant’s profile. Two types of risks are associated with the bank’s decision: If the applicant is likely to repay the loan, then not approving the loan results in a loss of business to the company If the applicant is not likely to repay the loan, i.e. he/she is likely to default, then approving the loan may lead to a financial loss for the company The data given below contains the information about past loan applicants and whether they ‘defaulted’ or not. The aim is to identify patterns which indicate if a person is likely to default, which may be used for taking actions such as denying the loan, reducing the amount of loan, lending (to risky applicants) at a higher interest rate, etc.telecom-churn-case-study
Business Problem Overview In the telecom industry, customers are able to choose from multiple service providers and actively switch from one operator to another. In this highly competitive market, the telecommunications industry experiences an average of 15-25% annual churn rate. Given the fact that it costs 5-10 times more to acquire a new customer than to retain an existing one, customer retention has now become even more important than customer acquisition. For many incumbent operators, retaining high profitable customers is the number one business goal. To reduce customer churn, telecom companies need to predict which customers are at high risk of churn. In this project, you will analyse customer-level data of a leading telecom firm, build predictive models to identify customers at high risk of churn and identify the main indicators of churn.Love Open Source and this site? Check out how you can help us