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Name: cryptonoobmaster_69
Type: User
Company: @Tezsure
Bio: Juggling around tech and non-tech stuff.
Location: Bangalore
Blog: omalviya.com
Name: cryptonoobmaster_69
Type: User
Company: @Tezsure
Bio: Juggling around tech and non-tech stuff.
Location: Bangalore
Blog: omalviya.com
Acme Corp is a fictional company that has been selling insurance products for over 30 years. However, Acme hasn't keep up with technology and still sells its products manually (non-digital) - over the phone, in person, mail, etc. This repository is going to track Acme's ambitions to transform itself into a digital power house. This will consist of the following projects: .NET Core monolithic backend, iOS client app, Android client app, and a React web internal app.
For this project, we will use the large Bank Marketing database set at UCI Machine learning repository which is related to direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. Often, more than one contact to the same client was required, in order to access if the product (bank term deposit) would be (βyesβ) or not (βnoβ) subscribed. There has been a revenue decline for the Portuguese bank and they would like to know what actions to take. After the investigation, we found out that the root cause is that their clients are not depositing as frequently as before. In addition, banks also hold a better chance to persuade term deposit clients into buying other products such as funds or insurance to further increase their revenues. As a result, the Portuguese bank would like to identify existing clients that have higher chance to subscribe for a term deposit and focus marketing effort on such clients. Through this exercise, we will be building few classifiers to predict whether a particular client will subscribe to term deposit or not. If classifier has very high accuracy it can help the manager to filter clients and use available resources more efficiently to achieve the campaign goal. Besides, we would also try to find influential factors for the decision so that we can establish an efficient and precise campaigning strategy. The proper strategy would reduce cost and improve long-term relations with the clients.
Compile SmartPy code locally, Deploy in the Testnet/Local tezos node & Build React Dapps and Interact with them
An in-development "robocoin" system for the Tezos blockchain
A cfmm with a curve that's flat in the middle
A high-level language for Tezos with OCaml syntax, with a decompiler from Michelson
Dating app - Exponent and React Native
A complete testing setup to build, deploy and interact with smart contracts and decentralised applications on Tezos.
Easy to use face recognition library for video streams
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A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.