Data Sets

In Data Science, a data set is a collection of data that is organized in a specific way. It can be a structured or unstructured collection of data that is used for analysis, modeling, and machine learning. A data set can be a table, a spreadsheet, a database, or any other format that can be used to store and organize data. Data sets can be used to train machine learning models, to test hypotheses, to validate algorithms, and to make predictions. They can be collected from various sources such as surveys, experiments, sensors, social media, and web scraping. Data sets can be preprocessed, cleaned, and transformed to make them suitable for analysis. They can also be combined with other data sets to create more complex and comprehensive data sets.
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  • Functional Testing: Functional testing is a type of software testing that verifies the software system against the functional requirements/specifications. The purpose of functional testing is to ensure that the software system is working as per the requirement ... Read More >>
  • Hashing Algorithm: A hashing algorithm is a mathematical function that converts a large amount of data into a fixed-size output, called a hash. The hash is a unique digital fingerprint of the input data, and any change in the input data will result in a diffe ... Read More >>
  • Regression Model: A regression model is a statistical tool used to determine the relationship between a dependent variable and one or more independent variables. It is commonly used in data science to predict the value of a dependent variable based on the va ... Read More >>
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