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e-commerce-recommendation-system

A platform where user is suggested items to buy based on previous transaction history and current cart. Implemented item to item collaborative filtering using Apriori algorithm. Improved upon the algorithm which provided pairwise affinity only, to allow computation of items similar to a given set of items. Technologies used – Python libraries, R, Django, HTL, CSS, BootStrap

easy-notes-nodejs

easynotedevops

Repository created by AWS CodeStar.

easynotesdevops

Référentiel créé par AWS CodeStar.

eclairjs

Main EclairJS Repository

eclairjs-examples

Examples for eclairjs-node and eclairjs-nashorn

eclairjs-kafka

Message Hub and Kafka module for EclairJS

eclairjs-node

Node.js API for Apache Spark with Remote Client

ecolostudies

BigData 4 développement durable

ecommerce_example

An ecommerce LookML model

elastic-stack

elastic-tools

Apache Spark based command line tools for ElasticSearch

elasticsearch

elatsicsearch

elk-cluster-setup

elkcs

A complete ELK Stack environment containerized and able to be used in DEV

end-to-end-machine-learning-model-with-mllib-in-pyspark

end-to-end Machine Learning model with MLlib in pySpark, For a Binary Classification problem with Imbalanced Classes

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 2017, VS for Mac and CLI based environments with Docker CLI, dotnet CLI, VS Code or any other code editor.

etl-demo

Python and AirFlow - Data Pipeline Orchestration

evolopy

examples

Kubernetes application example tutorials

expansion-of-data-warehouse-system-using-big-data--a-comparative-research

To propose best solution, the comparison study is carried out between data warehouse system expansion without Hadoop and data warehouse system expansion with Hadoop(80%) using complex total cost of ownership(TCO) and return on investment(ROI) for 6 years using World Wide Technology Data Warehouse Cost Saving Calculator. Various parameter have been taken into consideration and discussed in details for the comparison of two. The new model architecture of the expanded data warehouse systems has been created to find out total hardware requirements and total cost of ownership for the 3 years. A comparative study has been carried out to compare cloud based big data implementation and premises based big data implementation using Microsoft Azure TCO calculator. Various Hadoop contributors have been compared to choose best player using comparision of different parameter like File system, License Cost, Long term goal, consistency in Market, Partnership of Cloudera and Hortonworks with Teradata, etc. After that conclusion/Executive summary have been derived to conclude which is the best system to implement and reasons for it.

explainable

facebook-recruiting

Predict if an online bid is made by a machine or a human

facebook-recruiting-iv-human-or-robot-

Final solution for Facebook Recruiting IV competition on kaggle

fast-data-processing-systems-with-smack-stack

Code repository for Fast Data Processing Systems with SMACK Stack by Packt

fastkde

fastKDE implemented for the JVM with Nd4j

fca

Python package for formal concept analysis

featuremaps

Displaying ConvNets feature maps on real-time video with Keras and OpenCV

flask-kubernetes-helm

demo app