Suppose that you have a fleet of servers on AWS cloud and you want to balance traffic between them. Furthermore you want to make sure that network traffic is “secure” using TLS latest version.Then the solution is to provision an Elastic Load Balancer in front of them and associate a certificate created by Aws Certificate …
Aws Lambda service offers a convenient way to run your code in the cloud, without worrying too much of launching or managing a server. All this work is done by Aws. It also offers a variety of programming languages like Python, Nodejs, Go, Java, .Net and Ruby. It’s a breeze to create a new lambda …
If you followed my previous guide probably you will already have installed Jupyter Notebook running on a EC2 instance on the aws cloud. This is the second part. Apache Spark “Apache Spark” is an open-source cluster-computing framework. Spark provides an interface for programming entire clusters with implicit data parallelism and fault tolerance. To explain the …
Cloud computing is a trend nowadays and many companies choose to migrate their load of computation to the clound, especially when big data analysis is involved. The benefits are known: Easy to use, scalable, reliable, secure, high performance etc. This guide is the first part of Spark installation on AWS and it is about “Jupyter …
deeplearning.org.uk – Linear Regression Linear Regression In statistics “Linear regression” is an approach for modeling the relationship between an independent quantitative variable x and a dependent quantitative variable y . This is called “simple linear regression“. In case there are multiple independent variables x1, x2, …, xk , then the approach is called “multiple linear …
deeplearning.org.uk – Seaborn Matrix Plots
Learn how to query online data, provided by gov.uk, about property sales in UK and create a “heatmap”, which is a “Matrix Plot” showing properties sales-volume for Reading, UK during the years 1995-2017.
We use Python to process the data and create a “Pivot table” with months as rows, years as columns and sales-volume as data. You can realise the huge impact of crisis on the property market after 2008 and you can observe a pattern of increasement during the summer months.
deeplearning.org.uk – Python Seaborn Categorical Plots Tutorial
deeplearning.org.uk – Seaborn
deeplearning.org.uk – MatPlotLib
deeplearning.org.uk – Pandas