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Type I Error

Definition of Type I Error

Type I error: A type I error, also known as a false positive error, is the incorrect rejection of a true null hypothesis.

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Epoch

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Definition of Epoch Epoch: Epoch is a term used in data science to denote a specific point in time. It may be used, for example, to indicate the beginning of a period when data is collected or the end of a period when data is analyzed. When is an Epoch used? An epoch is a…

AdaBoost
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AdaBoost

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AdaBoost is a machine learning algorithm that is used to improve the accuracy of predictions made by a model. It does this by iteratively training a model on a subset of the data, and then using the model to predict the outcomes for the remaining data.

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SE

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Definition of SE SE: SE stands for standard error. It is a measure of the variability of a dataset, and is calculated as the standard deviation of the set divided by the square root of the number of data points.

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Exploratory Data Analysis

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Definition of Exploratory Data Analysis Exploratory Data Analysis: Exploratory data analysis (EDA) is the examination of data to summarize, visualize, and discover patterns. EDA is used to identify which variables are important and to develop hypotheses about the relationships between variables. What is an Exploratory Data Analysis used for? An Exploratory Data Analysis (EDA) is…

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Pandas

ByDavis

Definition of Pandas Pandas is a software library written for the Python programming language that enables data analysis. It provides high-performance, easy-to-use data structures and data analysis tools for the Python programming language. Pandas is free software released under the 3-clause BSD license.

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