https://colab.research.google.com/drive/19z81eKDr9AUWWke38V5RilcdRecRINeo?usp=sharing

import pandas as pd

import numpy as np

import os

from sklearn.impute import SimpleImputer

from sklearn.model_selection import train_test_split

from sklearn.svm import SVC

Directory where your CSV files are located

directory = 'drive/My Drive/StO2_mat(size513_911)/'

Initialize empty lists to store data and file names

data_arrays = []

file_names = []

Loop through all CSV files in the directory

for filename in os.listdir(directory):

if filename.endswith('.csv'):

file_path = os.path.join(directory, filename)

df = pd.read_csv(file_path)

data_array = df.values.ravel()

data_arrays.append(data_array)

file_names.append(filename)

Create a DataFrame from the …

csv data directory drive files import lists loop numpy pandas sklearn svm through