7 Data Preprocessing | Remove Duplicates | Data Preprocessing | Duplicate values in the dataset

Published: 01 January 1970
on channel: YuvaTeck

706

#data #datascience #machinelearning #datapreprocessing #jupyter #python

Dataset link:
=============
https://archive.ics.uci.edu/dataset/6...

Python commands:
================

Checking the duplicated rows
===========================
import pandas as pd

Assuming 'data' is your DataFrame
duplicate_rows = data.duplicated()
total_duplicates = duplicate_rows.sum()

print("Total count of duplicated rows:", total_duplicates)

Optional: Display the duplicate values
=========================================
duplicate_values = np.setdiff1d(data, unique_values)
print("Duplicate values:")
print(duplicate_values)

To display DataFrame after removing duplicates
===============================================
import pandas as pd

Assuming 'data' is your DataFrame
cleaned_data = data.drop_duplicates()

print("DataFrame after removing duplicates:")
print(cleaned_data)

Refer the following Publications
=================================
Identification of Dry Bean Varieties Based on Multiple Attributes Using CatBoost Machine Learning Algorithm
https://doi.org/10.1155/2023/2556066
https://www.hindawi.com/journals/sp/2...

Machine learning-based risk prediction model for cardiovascular disease using a hybrid dataset
https://doi.org/10.1016/j.datak.2022....
https://www.sciencedirect.com/science...

An Improved Power Quality Disturbance Detection Using Deep Learning Approach
https://doi.org/10.1155/2022/7020979
https://www.hindawi.com/journals/mpe/...

Development and evaluation of the bootstrap resampling technique based statistical prediction model for Covid-19 real time data : A data driven approach
https://doi.org/10.1080/09720502.2021...
https://www.tandfonline.com/doi/abs/1...

Power Quality Disturbance Detection using Machine Learning Algorithm
DOI: 10.1109/ICADEE51157.2020.9368939
https://ieeexplore.ieee.org/abstract/...

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