Part four of data exploration and visualization, we discuss different visualization techniques starting with the most popular histograms and box plots.
In this next section we introduce you to similarity and dissimilarity.
In part seven of data preprocessing, we discuss transformation of data such as attribute transformation.
Part 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.
Part 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.
Part two of data exploration and visualization, we discuss summary statistics and the frequency and mode of a attribute.
In our last section in data mining fundamentals, we introduce you to data exploration and visualization and what they are to data mining.
Part three of our introduction to similarity and dissimilarity, we discuss correlation and visually evaluating it.
Part two of our introduction to similarity and dissimilarity, we discuss euclidean distance and cosine similarity.