Primary Data

Primary data refers to the original data collected for a specific research purpose. It is collected directly from the source through methods such as surveys, experiments, and observations. Primary data is considered more reliable and accurate than secondary data, which is data that has already been collected and published by others. In data science, primary data is often used to train machine learning models and to gain insights into specific research questions. It can be collected through various methods such as online surveys, interviews, and sensor data. The collection and analysis of primary data can be time-consuming and expensive, but it provides valuable insights that cannot be obtained from secondary data alone.

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User Behavior Analysis: User Behavior Analysis is the process of collecting, analyzing, and interpreting user data to understand their behavior and preferences. This involves tracking user interactions with digital products, such as websites or mobile applications ... Read More >>
Control Group: In Data Science, a control group is a group of individuals or data points that are used as a benchmark to compare the results of an experiment or study. The control group is typically used to measure the effect of a treatment or interventio ... Read More >>
Multi-armed Bandit: Multi-armed bandit is a type of reinforcement learning problem where an agent has to choose between multiple actions (arms) with unknown reward distributions in order to maximize the total reward over a period of time. The agent has to bala ... Read More >>

Primary Data

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