Hadoop Jobs

I am looking for someone who can help in Loan default prediction with Map Reduce using machine learning technology and Java/Python programming language in Hadoop cluster. Loan default prediction is to predict whether the customer is going to pay the loan back or not based on the data given. I am taking the dataset from the Lending club company which is an online lending company.

UK Based company requires an experienced Hadoop admin ( Cloudera) Only admins with proven experience of at least 2 years should apply. Ideally also some understanding of AWS Thank you

Please refer to attachment for detailed specs

Company in the Information Security segment, need to be project for integration of Arcsight Logger with Elastic. The service includes the installation, configuration and customization of logstach, elasticserarch and kibana, to perform correlation of events and alerts, from the information contained in the Archsight Logger logs.

I need the expert for Python 3, PostgreSQL 10, API integration and VBA knowledge an absolute MUST. Details will be share with winning bidder. Please bid if you are expert.

I need the expert for Python 3, PostgreSQL 10, API integration and VBA knowledge an absolute MUST. Details will be share with winning bidder. Please bid if you are expert.

I need the expert for Python 3, PostgreSQL 10, API integration and VBA knowledge an absolute MUST. Details will be share with winning bidder. Please bid if you are expert.

I need the expert for Python 3, PostgreSQL 10, API integration and VBA knowledge an absolute MUST. Details will be share with winning bidder. Please bid if you are expert.

I need the expert for Python 3, PostgreSQL 10, API integration and VBA knowledge an absolute MUST. Details will be share with winning bidder. Please bid if you are expert.

The goal of this project is to implement the network join and routing in Scala using the actor model(GenServer using Elixir) the Chord protocol and a simple object access service to prove its usefulness. I will send you the pdf.

This project aims at conducting research and analysis on Yelp challenge dataset to predict the success rate of a new restaurant given its location. The algorithms that we are planning to use are NaveBayes, Scalar Vector Machines, Logistic Regression and Neural Networks.