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Other 2021-11-21 21:57:18
PCA with covariance
import numpy as npimport pandas as pdimport seaborn as snsimport matplotlib.pyplot as plt# Load datasetdataset = pd.read_csv('src/dataset.csv')pca = PCA(dataset, standardize=True, method='eig')normalized_dataset = pca.transformed_data# Covariance Matrix# ... Add solution -
Python 2021-11-20 20:36:16
how to predict the output for new data with the model tested already
data_2017 = pd.read_csv(data_path) test_predictions = logmodel.predict(data_2017[['Daily Time Spent on Site', 'Age', 'Area Income','Daily Internet Usage', 'Male']]) or data_2017["predictions"] = test_predictions Add solution -
PHP 2021-11-20 10:29:04
csv file
import pandas as pddf = pd.read_csv ('file_name.csv')print(df) Add solution -
Javascript 2021-11-18 17:12:11
python config file json datatypes
import pandas as pd import json import numpy as np # Create a file (csv) for test purposes data = '''\ 3,10,3.5,abc 3,010,3,bcd''' file = io.StringIO(data) # Create a file (json) for test purposes json_data = '''\ { "header":[ [&quo... Add solution -
Python 2021-11-17 06:01:09
iterating over the two ranges simultaneously and saving it in database
from .models import userData as us import pandas as pd def enterData(request): data=pd.read_csv(r"abc.csv",encoding='ISO-8859-1') username=data['userName'] address=data['address'] for a, b in zip(username, address): db=u... Add solution
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