Github is an open-source platform where developers build projects and can contribute to other open-sourced projects. It is one of the biggest open-source platforms which provides developers free storage to keep their code which can be further used by any other developer if the requirements are similar. Github offers many different features that help organizations and developers for a seamless experience in building applications. Some of its great features are Github Actions , Cloud Storage for storing Codes , Github Container Registry , etc. One such feature that is not directly visible is the Github Special Repository feature which Github provides for building attractive Github Profiles. Special Repository The Special Repository in Github allows developers to expose their interests and skills and helps to build a strong profile. It is very simple to create your own Special Repository. To create a special repository just create a new repository with the same name as the username
Dimensionality and High Dimensional data in Machine Learning Dimensionality In Machine Learning and Data Science world dimensionality refers to the number of attributes a dataset has. For example, we have a telecommunication dataset having large numbers of attributes (region, tenure, age, address, etc). Each attribute is written in a CSV file, with each column representing each dimension. Dimensionality in machine learning is different from those which are used in mathematics or science. High Dimensional Data High Dimensional data means, the dataset in which the number of features exceeded the number of observations. The dataset has extremely high attributes and makes it more complex for computations. For example, we have ‘n’ numbers of observations or data points and ‘p’ no. of features or attributes. If in a dataset the values of n and p are 1000 and 2000 then the data becomes high dimensional data. In simple words no matter how big or small is the dataset if the number of observatio