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Linear Regression is a statistical method to model the relationship between a dependent variable and one or more independent variables.
It is used to predict a continuous outcome variable based on one or more predictor variables.
It assumes a linear relationship between the dependent and independent variables.
It is commonly used in fields like finance, economics, and social sciences.
It can be simple linear regression (on...
A confusion matrix is a table used to evaluate the performance of a classification model.
It shows the number of true positives, false positives, true negatives, and false negatives.
It helps in calculating various evaluation metrics like accuracy, precision, recall, and F1 score.
It is useful in identifying the strengths and weaknesses of a model and improving its performance.
Example: A confusion matrix for a binary clas...
Sampling is the process of selecting a subset of data from a larger population for analysis.
Types of sampling include random sampling, stratified sampling, cluster sampling, and systematic sampling.
Sampling is necessary when it is not feasible or practical to analyze the entire population.
Sampling can help reduce costs and time required for analysis.
Sampling can also help reduce bias in the analysis by ensuring that th...
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