airbnb-data-analysis

This project examines Airbnb data from 2015 to 2017. Reviews are the richest source of data about how a trip went with cleanlinessŁ, check in, communication, host, etc. in focus. With increasing number of hosts listing their rental on Airbnb and more and more travellers preferring it over traditional accommodations it is important to understand which factors drive the reviews and ratings. In this project we have analyzed and inferred the top factors leading to negative reviews in US cities to help hosts improve in those aspects. We have also analyzed combined ratings for different factors to plot on map the best- rated listings in these cities. The technologies used for data analysis in this project are SparkML, Python, Pyspark, NLTK and Tableau, Plotly for its visualisation. This report elaborates on all concepts, tech stack, steps taken and provides visualizations for better understanding.

amazon-eks-ami

Packer configuration for building a custom EKS AMI

aws-amicleaner

Cleanup your old unused ami and related snapshots

bash2py

bash2py in a docker image, cf: http://www.swag.uwaterloo.ca/bash2py/index.html

chaos-mesh

A Chaos Engineering Platform for Kubernetes.

csharp

Officially supported dotnet Kubernetes Client library

csi-release-tools

shared build and test files used by kubernetes-csi projects

dashboard

General-purpose web UI for Kubernetes clusters

dataviz

example

Example middleware for CoreDNS

firefly-cli

FireFly Command Line Interface (CLI)

garima-negi.github.io

learning about segment's analytics.js

gitclass

test project for git

glossary

Cloud Native Glossary

invitae_cohort_analysis

java

Official Java client library for kubernetes

kube-openapi

Kubernetes OpenAPI spec generation & serving

kube-state-metrics

Add-on agent to generate and expose cluster-level metrics.

project-sisms

propertyinvestmentanalysis

web-tiger-engineering

Website developed for Mumbai based manufacturer of pollution control equipments by the name Tiger Engineering Co.

website

Kubernetes website and documentation repo:

yelp_dataset_analysis

Pig and Spark (scala) used code to analyse and visualise Yelp data