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Full File Only Codes Files Txt Codes Practical No. 3 : Aim: Perform the data classification using classification algorithm using R/Python Python CODE: import numpy as np import matplotlib.pyplot as plt rainfall = [799, 1174.8, 865.1, 1334.6, 635.4, 918.5, 685.5, 998.6, 784.2, 985, 882.8, 1071] months = np.arange("2012-01", "2013-01", dtype="datetime64[M]") plt.figure() plt.plot(months, rainfall, marker='o') plt.title("Monthly Rainfall (2012)") plt.xlabel("Month") plt.ylabel("Rainfall (mm)") plt.grid(True) plt.savefig("rainfall.png") plt.close() plt.figure() plt.plot(months, rainfall, marker='o') plt.title("Monthly Rainfall (2012)") plt.xlabel("Month") plt.ylabel("Rainfall (mm)") plt.grid(True) plt.show() ------------------ PRACTICAL NO: 4 Aim: Perform the data clustering using clustering algorithm using R/python R Code: newiris <- iris newiris$Species <- NULL (k...