Ansible is an open-source software provisioning, configuration management, and application deployment tool. It runs on many Unix-like systems, and can configure both Unix-like systems as well as Microsoft Windows. Before proceeding for the installation, it is necessary to get yourself comfortable with basic knowledge.
Ansible Wikipedia: https://en.wikipedia.org/wiki/Ansible_(software)
Official Documentation: https://docs.ansible.com/
Click here to proceed for quick guied on Installation and configuration
Handling a small amount of data is not a big deal. But how about if somebody gives you a large volume of data to reorganize. Data can be census data of all the countries, it can be astronomical data, or can be a large volume of medical image data which can have the size of around a few terabytes. For this Panda can be one of the most suitable option. it has the broader goal of becoming the most powerful and flexible open source data analysis/manipulation tool available in any language. Here are some of the most basic commands that you can use while handling your large dataset. Continue reading….
Data Classification mainly refers to a way of organizing/categorizing the data by assigning a label/class to a set of data. For example, from the age, we can the class Infants, children, adolescents, adult, or older adult to a person. It is very easy to classify if the data is very small or the feature set (here it is only the age of the person) is very small. What will happen, if the amount of data is very large? We can use different ML algorithms to perform the classification task on a large dataset with hundreds of the features. In this post, we will learn how to classify a set of data using the popular supervised Naive Bayes algorithm using Python language. Continue reading…