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ajaysharma201291's Projects

alphabetrecognizer icon alphabetrecognizer

Simple Optical Character Recognizer (english-ocr-image-to-text-recognition-sample-trainig-alphabet-photo-data-database-dataset)

big-basket-analysis icon big-basket-analysis

Analysing the big basket dataset and answering a few problems using Collaborative filtering and Association Rules

diabetic-data-readmission-prediction-in-r icon diabetic-data-readmission-prediction-in-r

Diabetes is a chronic condition prevalent among more than 100 million people across the world. The chances of readmission of diabetic patients are quite high.The objective of this project is to predict whether the patient will be readmitted to the hospital or not. For predicting it most accurately I have used various prediction models like Logistic Regression, Decision Trees, Neural Networks, Random Forests, SVM and NaΓ―ve Bayes and seen their performance in order to get the best results.

eshoponcontainers icon eshoponcontainers

Easy to get started sample reference microservice and container based application. Cross-platform on Linux and Windows Docker Containers, powered by .NET Core 2.2, Docker engine and optionally Azure, Kubernetes or Service Fabric. Supports Visual Studio, VS for Mac and CLI based environments with Docker CLI, dotnet CLI, VS Code or any other code editor.

getstatus icon getstatus

This repo consist of synchronous way oh hadling data from db in chunks and sending each chunk report in email.

lipnet icon lipnet

Automated Lip reading from real-time videos in tensorflow in python

lipnet-1 icon lipnet-1

Keras implementation of 'LipNet: End-to-End Sentence-level Lipreading'

lipnet-3 icon lipnet-3

Re-implementation of LipNet in Tensorflow

lipnet-4 icon lipnet-4

Lipnet is a convolutional neural network for analyzing electron microscope images of liposomes.

lipnet-replication icon lipnet-replication

A replication of Google DeepMind's paper:LipNet: End-to-End Sentence-level Lipreading

marketing-analytics icon marketing-analytics

A simple segmentation and targeting analysis of few beer brands and identifying which segment will be more attracted if we launch a new brand with certain features.

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