rahuldesai1129's starred repositories
LanguageTranslatorUsingAzure
Language-Translator is an Angular Application which uses Azure Text Translator Service which converts a text message from one Language to another.
AzureImageRecognitionProject
This project demonstrates the use of Azure's Cognitive Services to analyze images using AI. End points have been created to identify objects in an image , describe the content of an image , obtain tags of objects present in an image , read text in an image. The back end is developed using .NET Core 2.2, Web API and Azure. The front end is developed using Angular 8, Typescript, HML, CSS.
Deploying-an-Asp.Net-Core-3.0-Web-API-on-AKS
Containirize dotnet core web Api using Docker, push to Azure Container Registry and deploy to Kubernetes cluster in AKS
chicago-crime-data-analysis
[Data Science] Chicago Crime data analysis from 2001 to present.
Building-a-CI-CD-pipeline-Using-Azure
Simple set of .Net Core 3.0 projects used in Azure DevOps Pipelines Tutorial - Continuous Integration .
K-Means-Clustering-with-Python-part-2
Using KMeans Clustering to analyse the College Data and form clusters from it based on Feature Private meaning private and public colleges
Deploying-a-Docker-based-web-application-to-azure-app-services
This lab outlines the process to build custom Docker images of an ASP.NET Core application, push those images to a private repository in Azure Container Registry(ACR). These images will be used to deploy the application to the Docker containers in the Azure App Service (Linux) using Azure DevOps.
Kaggle-crime-master
[Data Science] An end to end project to explore & visualize crime data and predict category of crime in San Francisco.
Linear-Regression-Prediction-Project-Part-1
Analyse a Dataset of Ecommerce company based in New York City that sells clothing online , order either on a mobile app or website for the clothes they want.Predict whether to buy using mobile app or website
Linear-Regression-Prediction-Project-part-2
Analyse a Housing Dataset of Usa for predicting housing prices for regions in the USA
Configuring-CI-CD-for-Nodejs-Application-with-Azure-Pipeline
In this lab, we will present a scenario where Visual Studio Team Services (VSTS) can enable Node.js developers with continuous integration and deployment features. The scenario demonstrates how a Node.js developer using Visual Studio Code and various Azure-related VS Code extensions to create a new Azure App Service and use Git-based deployment. You'll learn how a Node.js developer can use VSTS to ensure that their code is deployed automatically to an Azure App Service when code is committed to a VSTS Git repository.
Multi-Container-Application-using-Azure-Kubernetes-Services
This lab uses a Dockerized ASP.NET Core web application - MyHealthClinic (MHC) and is deployed to a Kubernetes cluster running on Azure Kubernetes Service (AKS) using Azure DevOps.
College-Basketball-Final-Four-Prediction
Analyze basketball metrics of different college basketball teams and predict which teams can make it to the NCAA Final Four.
college_admissions_prediction
Predict a candidate's chances of being admitted into a college based on GPA and GRE score
Logistic-Regression-with-Python-Part-2
Analyse advertising data set, indicating whether or not a particular internet user clicked on an Advertisement.predict whether or not they will click on an ad based off the features of that user
Automating-Deployment-from-Azure-Repos-with-Octopus-Deploy
Here, we will see how to use Octopus Deploy in conjunction with Azure DevOps to deploy in the cloud in a repeatable and reliable way.
Amazon-Personalize-utility-demo-scripts
Amazon Personalize / MovieLens inference utility/demo scripts
Car-Price-Prediction
Predict a car's market price using its attributes.
Georgia-Restaurant_Inspection
The purpose of this project is to analyze, specify, design, implement, document, and demonstrate a database management information system called the Georgia Restaurant Health Inspection System.
House_Sale_Price_Prediction
Investigate housing data set and build an ML Pipeline that automates feature engineering, feature selection, and training and testing models for estimation and prediction of housing prices.
K-Means-Clustering-with-Python-part-1
K Means Clustering is an unsupervised learning algorithm that tries to cluster data based on their similarity. Making Random data using blobs and Analysing it and forming Clusters from it.
K-Nearest-Neighbors-Project
Analyse Dataset and choose a K value, with new value predict and evaluate the dataset
kyphosis-prediction-using-Decision-Trees-and-Random-Forests-in-Python
Analyse the dataset and using Decision Trees and Random Forests in Python predicting kyphosis present or absent within children
Loan-prediction-using-Decision-Trees-and-Random-Forest-Project
Analysing publicly available data from LendingClub.com. Lending Club connects people who need money (borrowers) with people who have money (investors). Hopefully, as an investor you would want to invest in people who showed a profile of having a high probability of paying you back. We will try to create a model that will help predict this
Logistic-Regression-with-Python-Part-1
Analyse the Titanic Data Set from Kaggle and predict a classification- survival or deceased
Recommender-Systems-with-Python
developing basic recommendation systems using Python and pandas for Movie Datasets.
azure-pulumi
Provides a docker image that can interact with Azure via Pulumi
Car-Origin-Classification
Predict a car's origin (i.e was it made in North America, Europe, or Asia?).
Movie-Similarities
Analyze close to 1 million movie ratings to generate movie recommendations based on a particular movie that anyone may have watched. Recommendations were determined using item-based collaborative filtering.
US-Senate-Voting-Analysis
Model and visualize the political spectrum and divide of the 114th Congress of the United States of America.