Category Topics

Python

Python is an open source programming language appropriate for doing broad range of tasks. It is high level language, and the learning curve is not steep. There are many machine learning libraries that can be utilized by running python code.

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SQL

Structured Query Language (SQL) is a standardized programming language that is used to manage relational databases and perform various operations on the data in them.This category will cater all the questions related to SQL.
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Data Analysis

Data Analysis is a systemic technique of cleaning, exploring, processing and modelling data for creating valuable insights.

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Model Selection

Model Selection is the process of selecting the best machine learning model among the list of models based on different evaluation metrics.

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Classification

Classification method is one of the supervised machine learning methods where the outcome is discrete.

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Power BI

Microsoft Power BI is a business intelligence platform that provides nontechnical business users with tools for aggregating, analyzing, visualizing and sharing data.This category is all about the articles and discussions related to Power BI.
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R Programming

R is an open source, high level programming language suitable for data analysis, data mining, and machine learning. The learning curve for R programming is not steep. It is popular among statisticians, data analysts and data scientists.

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Regression

Regression is one of the supervised machine learning methods where the outcome is continuous.

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Data Mining

Data Mining is a method of sifting through massive data sets to discover meaningful pattern.

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Meta Discussions

This category is about topics related to the site itself. This category can be used to exchange views about the different ways to enhance the experience of using it as the platform for data science related questions and platforms. You can help us achieve that goal by suggesting how to improve this site.

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Site Feedback

Discussion about this site, its organization, how it works, and how we can improve it.

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