The four fundamental data types in Data Science are: Categorical Nominal, Categorical Ordinal, Metric Discrete, Metric Integer Categorical Nominal, Categorical Ordinal, Metric Discrete, Metric Continuous. Categorical Nominal, Categorical Ordinal, Metric Cluster, Metric Continuous Categorical Nominal, Categorical Cardinal, Metric Discrete, Metric Continuous Joint probability is The probability of an event irrespective of the outcome of another variable. The probability of an event based on established knowledge, before empirical data is collected. The probability of both event A and event B occurring i.e. the probability of the intersection of two or more events. The probability of event A occurring given that event B occurs. Which of the following algorithm is an example of unsupervised learning algorithm? K-Means Decision tree Linear regression K-NN algorithm