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    Apriori Algorithm

    What is Apriori Algorithm? Apriori Algorithm Explained

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    Apriori Algorithm: Introduction Who Introduced it?AssumptionsHow do decide the frequency?How to improve efficiency? Contributed by: Shreya Shetty LinkedIn Profile: https://www.linkedin.com/in/shreya-shetty-9a070792/ Before we deep...
    Hierarchical Clustering

    What is Hierarchical Clustering? An Introduction to Hierarchical Clustering

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    Hierarchical Clustering How Agglomerative Hierarchical clustering algorithm worksEuclidean DistanceManhattan DistanceMinkowski DistanceJaccard Similarity Coefficient/Jaccard IndexCosine Similarity Gower’s Similarity Coefficient Agglomerative clustering linkage algorithm (Cluster Distance Measure)How to Find Optimal number of clustering
    model evaluation metrics

    Famous Machine Learning Metrics | Model Evaluation Metrics for Machine Learning

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    Introduction Model and Performance Matrix MatchType of cut off approach in classification modelRegression model performance parametersClassification model performance parametersModel Stability Contributed by: Rishabh Pandey LinkedIn profile: https://www.linkedin.com/in/rishabh1409/
    Maximum likelihood estimation

    Maximum Likelihood Estimation: What Does it Mean?

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    Contributed by: Venkat Murali LinkedIn Profile: https://www.linkedin.com/in/venkat-murali-3753bab/ The maximum likelihood estimation is a method that determines values for parameters of the model. It is the statistical method of...
    goodness of fit test

    Understanding Goodness of Fit Test, Definition | What is Goodness of Fit?

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    What is goodness of fit?Why do we test the goodness of fit?What are the most common goodness of fit tests?Chi-Square Goodness of fit testThe Kolmogorov-Smirnov Goodness of Fit TestThe Anderson-Darling Goodness...