sailaja-thippabhotla

AR_Workex

ARproject_experience

arproject_sailaja

crazycarracing

Car racing game by Sailaja

Customer-Segmentation-using-Machine-Learning

Customer segmentation is one of the most essential applications for all customer-facing industries (B2C companies). It uses the clustering algorithm of Machine Learning that allows companies to target the potential user base and also they can identify the best customers. It uses clustering techniques through which companies can identify the several segments of customers allowing them to target the potential user base for a specific campaign. Customer segmentation also uses K-means clustering algorithm which is essential for clustering unlabeled dataset.

discoveringsentimentreviewsgenerating

Code for "Learning to Generate Reviews and Discovering Sentiment"

mongodb-react-redux

multiselect-react

Playablead2-sailajathippabhotla

Some nice work of mine on Playable ad for Facebook.

Sailaja_thippabhotla_project

sailaja-thippabhotla/Playablead2-sailajathippabhotla

Some nice work of mine on Playable ad for Facebook.

sailaja-thippabhotla/Sailaja_thippabhotla_project

sailaja-thippabhotla/AR_Workex

sailaja-thippabhotla/ARproject_experience

sailaja-thippabhotla/arproject_sailaja

sailaja-thippabhotla/crazycarracing

Car racing game by Sailaja

sailaja-thippabhotla/mongodb-react-redux

sailaja-thippabhotla/multiselect-react

sailaja-thippabhotla/multiselectappreact

sailaja-thippabhotla/multiselectdropdown

sailaja-thippabhotla/myarproject_sailaja

sailaja-thippabhotla/MyARprojects

AR projects by Sailaja Thippabhotla

sailaja-thippabhotla/MyARprojectwork

sailaja-thippabhotla/Mylearning

sailaja-thippabhotla/myproject-1

sailaja-thippabhotla/myproject_AR

sailaja-thippabhotla/myworkexperienceinAR

sailaja-thippabhotla/nlp_question_answer

The goal is to build a framework that is capable of answering questions of the 4th grade science exam level. The IPython notebooks describe various methodologies proposed by us to build such a Question Answering framework. They majorly contain the implementation for following approaches: Bag-of-words matcher for candidate sentence extraction + Bag-of-word matcher for answer retrieval Bag-of-words matcher for candidate sentence extraction + Dependency tree matcher for answer retrieval Bag-of-words matcher for candidate sentence extraction + Semantic Frame Matching (SEMAFOR) for answer retrieval Semantic Frame Matching (SEMAFOR) for candidate sentence extraction + Semantic Frame Matching (SEMAFOR) for answer retrieval

sailaja-thippabhotla/Playablead-sailajathippabhotla

I've recently did some exciting R&D and built this playable ad for Facebook.

sailaja-thippabhotla/react-deploy

sailaja-thippabhotla/react-select-dropdown

sailaja-thippabhotla/reactappsail

sailaja-thippabhotla/reactmsapp

sailaja-thippabhotla/reactmults

sailaja-thippabhotla/sparkar-pixelate-shader

simple script-only pixelate shader with Facebook SparkAR.

sailaja-thippabhotla/testrepo1

sailaja-thippabhotla/VR_PROJECT

Some of my AR works..

sailaja-thippabhotla/VRPROJECT

My VR working experience.

sailaja-thippabhotla/webdriveriotestexecution

Hi Everyone. This is a Basic automation test of GoCompare website, using WebDriverIO with Typescript, Mocha and Chai; to run parallel test on Chrome and Firefox.

sailaja-thippabhotla/WorkexperienceinAR