程序代写 CS代考

Tutorial_08_tasks_solutions Tutorial 08 Tasks Solution¶ Copyright By PowCoder代写 加微信 powcoder import numpy as np import pandas as pd from sklearn import neighbors from sklearn.model_selection import train_test_split from sklearn.metrics import confusion_matrix from sklearn.model_selection import cross_val_score spam_df = pd.read_csv(“spambase.txt”) # Load the data and split into training and test sets (75/25) trainData, testData, trainLabels, testLabels = train_test_split(spam_df.iloc[:,0:-1],

practice – Problem 1 Copyright By PowCoder代写 加微信 powcoder import numpy as np from scipy.stats import uniform ## record your uni here Problem 1 (25 points)¶ Let $$\theta = \int_0^1 \int_0^y \exp(-x^2) x^4 dx dy$$ Use the monte carlo method to estimate $\theta$. np.random.seed(42) n = 10_000 U = uniform.rvs(size=(n,2)) f = np.exp(-U[:,0]**2) * (U[:,0]

import numpy as np Copyright By PowCoder代写 加微信 powcoder from scipy.stats import uniform Two continuous random variables $X$ and $Y$ have the following bi-variatate (unnormalized) probability density function which is defined over the unit-square: f_{X,Y}^{unnormalized}(x,y)=\begin{cases} e^{(1-2x-3y+4xy)},& \text{if } 0\leq x

practice – Problem 2 Copyright By PowCoder代写 加微信 powcoder import numpy as np from scipy.stats import poisson, uniform ## record your uni here Problem Statement¶ Suppose the number of accidents on a highway on a given day follows a Poisson with distribution with parameter $\lambda$, depending on weather conditions. 85\% of days have good conditions