Write a Pandas program to standardize numerical data using Z-Score scaling.This exercise shows how to standardize numerical data using Z-score scaling (StandardScaler).Sample Solution :Code :import pandas as pd from sklearn.preprocessing import StandardScaler # Load the dataset df = pd.read_csv(...
I used the below code to try and process the data but got a ValueError import jiwer string_wer_data["standardized_ref"] = jiwer.wer_standardize((string_wer_data["reference"])) string_wer_data["standardized_hyp"] = jiwer.wer_standardize((...
# Normalize time series data from pandas import read_csv from sklearn.preprocessing import MinMaxScaler # load the dataset and print the first 5 rows series = read_csv('daily-minimum-temperatures-in-me.csv', header=0, index_col=0) print(series.head()) # prepare data for normalization value...
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