The dataset obtained contains information regarding the work and household characteristics of married individuals in the United States, and originated from a 1976 panel study of income. Data set contains a mix of integers, floats, and objects. Dimension of the dataset is (753, 18) and it did not require any imputation due to missing values. Apply two types of machine learning techniques to analyze the data: Decision tree classification and k-means clustering. Specify analytic questions for each technique: Regarding k-means clustering, utilize education and experience to group similar individual
 The main requirement of Project One is to analyze a structured data set by applying machine learning techniques covered…