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Numpy Exercise Generate matrices A, with random Gaussian entries, B, a Toeplitz matrix, where A ∈ Rn×m and B ∈ Rm×m, for n = 200, m = 500. Exercise 9.1: Matrix operations Calculate A + A, AA⊤, A⊤...

11 Matplotlib Exercise 11.1: Plotting a function Plot the function f(x) = sin^2(x − 2)e^2 over the interval [0, 2]. Add proper axis labels, a title, etc. Solution import numpy as np import...

10 Scipy Exercise 10.1: Least squares Solution import numpy as np import scipy.linalg as lig m = 10 n = 5 A = np.random.random((m, n)) b = np.random.random(m) x = lig.lstsq(A, b)[0] norm = n...

Pandas & Statsmodels Anscombe’s quartet import random import numpy as np import scipy as sp import pandas as pd import matplotlib.pyplot as plt import seaborn as sns import statsmodels.api...

Scikit-Learn Assignment In the second ML assignment you have to compare the performance of three different classification algorithms, namely Naive Bayes, SVM, and Random Forest. For this assignment...