KNN – Data and Machine by viswateja

Missing Data Analysis with MICE

Outliers and missing values are the most important for any data science engineers need to deal with, we already discussed about outliers. Before talking about how to deal with missing values, let’s talk about types of missing values. Missing at Random (MAR) Missing completely at random (MCAR) Missing not at Random (MNAR) Let’s take one example,Continue reading “Missing Data Analysis with MICE”

Similarity

Suppose we have 10 students in the class and you want to find which students are similar? Now how do we find this? may be based on height, color, marks score by subject or overall score and so on…. Based on the above common points, we can say student A and B is similar inContinue reading “Similarity”