Introduction to Data Mining Project 1: Data Pre-Processing In this project, students are to program data pre-processing techniques on gene expression datasets. The dataset (P1InputData.csv) provided in the project folder contains 62 samples collected from colon-cancer patients of two classes; there are 22 positive tuples and 40 negative ones. Each tuple (row) consists of the readings for the genes and the class (which is the last column) on one biopsy. Each gene is an attribute. The columns are separated by “,”. We number the genes 1 to N in the left-to-right order; we will refer to the genes using gi where i is a column number; for example the first gene (column) is called g1. Your program should work on other datasets with similar formats but they may have different number of rows and different number of columns (perhaps also different
Introduction to Data Mining Project 1: Data Pre-Processing In this project, students are to program data pre-processing techniques on gene expression datasets. The dataset…