Question: import numpy as np import pandas as pd import matplotlib.pyplot as plt data = pd.read_csv(food-consumption.csv) food_items = data.columns[1:] def PCA(k, data): # Exclude non-numeric columns

import numpy as np import pandas as pd import matplotlib.pyplot as plt data = pd.read_csv("food-consumption.csv") food_items = data.columns[1:] def PCA(k, data): # Exclude non-numeric columns (e.g., country names) X = data.select_dtypes(include=[np.number]).values print("Transposed data:") print(X) # Print transposed data mean_vec = np.mean(X, axis=0) cov_matrix = np.cov(X.T) eigenval, eigenvec = np.linalg.eigh(cov_matrix) print("Eigenvalues:") print(eigenv

Step by Step Solution

There are 3 Steps involved in it

1 Expert Approved Answer

Step: 1 Unlock blur-text-image

Question Has Been Solved by an Expert!

Get step-by-step solutions from verified subject matter experts

Step: 2 Unlock

Step: 3 Unlock

Students Have Also Explored These Related Programming Questions!

Python - I am stuck/confused with the yellow highlights on this assignment. You can see my attempts below. For instance, with the header being infer, that means header = None? And how do I filter a...

I need help with task 1, can anyone help me solve it? Task 1: Use PCA from previous assignment to convert data from 4D to 2D. If you did not manage to implement PCA, you can simply use first 2...

import numpy as np import pandas as pd import matplotlib.pyplot as plt from sklearn.decomposition import PCA from sklearn.preprocessing import StandardScaler # Load the data from the CSV file file _...

Can you add the callback and display _ map for the geolocation chart in the code below as well?: # Setup the Jupyter version of Dash from jupyter _ dash import JupyterDash # Configure the necessary...

I need help with an error message I keep getting, here is the code: # Setup the Jupyter version of Dash from jupyter _ dash import JupyterDash # Configure the necessary Python module imports import...

king rook vs king problem using nlp and neural networks math numpy as np | ort pandas as pd ort matplotlib.pyplot as plt sklearn.model_selection import train test_split sklearn.preprocessing import...

Assignment 2 In this assignment you'll explore the relationship between model complexity and generalization performance, by adjusting key parameters of various supervised learning models. Part 1 of...

# Install Essential Libraries ! pip install ultralytics import numpy as np # linear algebra import pandas as pd # data processing, CSV file I / O ( e . g . pd . read _ csv ) # Input data files are...

This question uses the MNIST 784 dataset which is readily available online. TO DO: Modify the class above to implement a KNN classifier. There are three methods that you need to complete: predict:...

Q2code.py Code: import numpy as np import math import cvxpy as cp import pandas as pd import seaborn as sns import matplotlib.pyplot as plt import scipy.cluster.hierarchy as sch,random import...

How long is a 14-gauge copper wire that has a resistance of 2 ?

During the 1999 holiday shopping season, Keynote Systems, Inc. visited a number of e-commerce websites to see how long it took for the site to come up on the PC of a consumer using a 56K modem. The...

An example of an internal control weakness is to assign the payroll department the respomibility for: Thes Raveliec Abenpt Ais Mge 2 7 t NHow, blobirate Preparing the payroll expense distribution....

2023 1040 form 1.Phillip and Claire are married and file a joint return. Phillip is self-employed as a real estate agent, and Claire is a flight attendant. Phillip and Claire have three dependent...