You have a supermarket mall and through membership cards, you have some basic data about your customers like Customer ID, age, gender, annual income and spending score. Spending Score is something you assign to the customer based on your defined parameters like customer behavior and purchasing data. By the end of this case study, you would be able to answer the below questions. 1- How to achieve customer segmentation using Machine Learning algorithm (Hierarchical Clustering) …
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 …