Part four of data exploration and visualization, we discuss different visualization techniques starting with the most popular histograms and box plots.
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Read moreIn part seven of data preprocessing, we discuss transformation of data such as attribute transformation.
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Read morePart five of data exploration and visualization, we continue our discussion of different visualization techniques to scatter plots and contour plots.
This concludes our Data Mining Fundamentals course.
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Read morePart three of data exploration and visualization, we discuss measuring of center such as the median and mean. And look at measures of spread such as range and variance.
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Read morePart two of data exploration and visualization, we discuss summary statistics and the frequency and mode of a attribute.
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Read moreIn our last section in data mining fundamentals, we introduce you to data exploration and visualization and what they are to data mining.
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Read morePart three of our introduction to similarity and dissimilarity, we discuss correlation and visually evaluating it.
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Read morePart two of our introduction to similarity and dissimilarity, we discuss euclidean distance and cosine similarity.
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Read moreIn part six of data preprocessing, we discuss another way of dimensionality reduction, feature subset selection.
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