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2. Feature engineering - Wikipedia

   en.wikipedia.org/wiki/Feature_engineering

   Feature engineering in machine learning and statistical modeling involves selecting, creating, transforming, and extracting data features. Key components include feature creation from existing data, transforming and imputing missing or invalid features, reducing data dimensionality through methods like Principal Components Analysis (PCA), Independent Component Analysis (ICA), and Linear ...

3. Data Version Control (software) - Wikipedia

   en.wikipedia.org/wiki/Data_Version_Control...

   Comparison of training or evaluation datasets; Selection of model hyperparameters; DVC experiments can be managed and visualized either from the VS Code IDE [34] or online using Iterative Studio. [35] Visualization [36] allows each user to compare experiment results visually, track plots and generate them with library integrations.

4. Vidya Academy of Science and Technology, Thrissur - Wikipedia

   en.wikipedia.org/wiki/Vidya_Academy_of_Science...

   Vidya Academy of Science and Technology (VAST) is a private self-financing engineering college in Thrissur District in Kerala.The college offers a degree in Bachelor of Technology and courses in six branches of engineering - Artificial Intelligence and Machine Learning, Civil, Computer Science, Electrical and Electronics, Electronics and Communication, Mechanical Engineering.

5. Data science - Wikipedia

   en.wikipedia.org/wiki/Data_science

   Data analysis focuses on extracting insights and drawing conclusions from structured data, while data science involves a more comprehensive approach that combines statistical analysis, computational methods, and machine learning to extract insights, build predictive models, and drive data-driven decision-making. Both fields use data to ...

6. Analytics - Wikipedia

   en.wikipedia.org/wiki/Analytics

   Analytics is the systematic computational analysis of data or statistics. [1] It is used for the discovery, interpretation, and communication of meaningful patterns in data, which also falls under and directly relates to the umbrella term, data science. [2] Analytics also entails applying data patterns toward effective decision-making.

7. Orange (software) - Wikipedia

   en.wikipedia.org/wiki/Orange_(software)

   Orange is an open-source software package released under GPL and hosted on GitHub.Versions up to 3.0 include core components in C++ with wrappers in Python.From version 3.0 onwards, Orange uses common Python open-source libraries for scientific computing, such as numpy, scipy and scikit-learn, while its graphical user interface operates within the cross-platform Qt framework.

8. Data analysis - Wikipedia

   en.wikipedia.org/wiki/Data_analysis

   Analysis refers to dividing a whole into its separate components for individual examination. [10] Data analysis is a process for obtaining raw data, and subsequently converting it into information useful for decision-making by users. [1] Data is collected and analyzed to answer questions, test hypotheses, or disprove theories. [11]

9. Python (programming language) - Wikipedia

   en.wikipedia.org/wiki/Python_(programming_language)

   Python is known as a glue language, [76] able to work very well with many other languages with ease of access. Python uses dynamic typing and a combination of reference counting and a cycle-detecting garbage collector for memory management. [77] It uses dynamic name resolution (late binding), which binds method and variable names during program ...