In this project, we are going to implement customer segmentation based on credit card usage behavior with two different approaches (K-means and Hierarchical Clustering) The data contains the following columns: CUST_ID : Identification of credit card holder (Categorical) BALANCE : Balance amount left in their account to make purchases BALANCE_FREQUENCY : How frequently the Balance is updated, score between 0 and 1 (1 = frequently updated, 0 = not frequently updated) PURCHASES : Amount of purchases made from account ONEOFF_PURCHASES : Maximum …
In this project we aim to Predict if tumor is benign or malignant by training a Random Forest classification and K-Means clustering model on target Diagnosis. The data contains the following columns: id: ID number diagnosis: The diagnosis of breast tissues (M = malignant, B = benign) radius_mean: mean of distances from center to points on the perimeter texture_mean: standard deviation of gray-scale values perimeter_mean: mean size of the core tumor area_mean: mean area size of …