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Two-sample t-test

Definition of Two-sample t-test Two-sample t-test: A two-sample t-test is a statistical hypothesis test used to determine whether the means of two samples are statistically different from each other. The test statistic is a t statistic, which is the ratio of the differences between the means of the two samples to the standard error of…

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T-test

Definition of T-test T-test: A T-test is a type of statistic that is used to compare two groups of data. It can be used to determine whether the means of the two groups are statistically different from each other.

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Trend

Definition of Trend Trend: A trend is a general direction in which something is moving or changing. In the context of data science, trends can be observed in datasets over time and can be used to make predictions about the future, or observe how process changes influence outcomes.

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Time-Series

Definition of Time-Series Time-Series: A time-series is a sequence of data points, usually measured at successive points in time. Time-series analysis is the process of examining these data points in order to identify and understand trends and patterns. Time-series data can be used to predict future events, track performance over time, or measure the impact…

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Support Vector Machines

Definition of Support Vector Machines Support Vector Machines: A support vector machine (SVM) is a computer algorithm that is used to learn and predict patterns of behavior. SVM algorithms are used to create models that can be used to predict outcomes, or to classify data into discrete categories. It works by constructing a kernel matrix…

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Supervised Learning

Definition of Supervised Learning Supervised Learning: Supervised learning is a type of machine learning algorithm where the computer system is provided with a set of training data, and the task is to learn how to predict the correct output values for new data. The algorithm is “supervised” because each answer it provides is validated by…