a-clustering-based-approach-of-book-recommendation-system

Clustering Based Book Recommendation System using Machine Learning

bd-datasophon

The next generation of cloud-native big data management expert , Aims to help users rapidly build stable, efficient, and scalable cloud-native platforms for big data.

bigdata-prototype

book-authour-details

cloud-jcom-project

cricket_analysis

data-architect

plan, design and implement enterprise data infrastructure solutions and create the blueprints for an organization’s data management system. You’ll create a relational database with PostGreSQL, design an Online Analytical Processing (OLAP) data model to build a cloud based data warehouse, and design scalable data lake architecture that meets the nee

eskimo-prototype

Eskimo is a state of the art Big Data Infrastructure and Management Web Console to build, manage and operate Big Data 2.0 Analytics clusters on Kubernetes. This is the git repository of Eskimo Community Edition.

hacker-rank-problems-scala

housepriceprdeiction

Repository to store sample python programs for python learning

java

java-basics-prgms

javacode

movies-analytics-in-spark-and-scala

Data cleaning, pre-processing, and Analytics on a million movies using Spark and Scala.

nifi-rule-engine-processor

Drools processor for Apache NiFi

plagiarism-checker-django

Online Assignments Plagiarism Checker Using Winnowing Algorithm

play-slick-crud-operation-scala

pneumonia-detection-using-cnn

poojasundar15

profile-bio

shoesappui-flutter

A shoes app UI in Flutter

simple-kafka-in-scala

simplejavaapp

sitewhere-bigdata

SiteWhere is an industrial strength open-source application enablement platform for the Internet of Things (IoT). It provides a multi-tenant microservice-based infrastructure that includes device/asset management, data ingestion, big-data storage, and integration through a modern, scalable architecture. SiteWhere provides REST APIs for all system

sports_analysis_da-2

stress-detection-using-ml-and-image-processing-techniques

The main motive of our project is to detect stress in the IT professionals using vivid Machine learning and Image processing techniques. Our system is an upgraded version of the old stress detection systems which excluded the live detection and the personal counseling but this system comprises of live detection and periodic analysis of employees an

student-management

student-management-system

two-commit-protocol-design

virtual-personal-trainer