Data Analysis
Data analysis is the process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, drawing conclusions, and supporting decision-making. It involves a variety of techniques and methods, including statistical analysis, machine learning, data mining, and visualization. Data analysis is used in various fields, such as business, healthcare, finance, and social sciences, to identify patterns, trends, and relationships in data, and to make predictions and recommendations based on the findings. The process of data analysis typically involves several stages, including data collection, data cleaning and preprocessing, exploratory data analysis, hypothesis testing, model building and evaluation, and communication of results.
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- Input/output Devices: Input/output (I/O) devices are hardware components that allow users to interact with a computer system. Input devices are used to provide data and control signals to a computer, while output devices display or transmit the results of proces ... Read More >>
- Objective Function: In Data Science and Artificial Intelligence, an objective function is a mathematical function that is used to measure the performance of a machine learning model. It is also known as a loss function or cost function. The objective function ... Read More >>
- Population Parameter: In statistics, a population parameter is a numerical value that describes a characteristic of a population. It is a fixed value that is usually unknown and estimated from a sample. Population parameters are important in data science because ... Read More >>
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