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knn-imputer

Here are 5 public repositories matching this topic...

ZL63388 / data-preparation-codes

This repository is a collection of basic code templates for Data Preparation. All codes I am sharing are from the practical exercises I did from the Data Science Infinity Program.

pandas feature-selection outlier-detection feature-scaling onehot-encoding simpleimputer knn-imputer

Updated Jul 27, 2021
Python

nf-i / data-imputation-python

Data imputation is used when there are missing values in a dataset. It helps fill in these gaps with estimated values, enabling analysis and modeling. Imputation is crucial for maintaining dataset integrity and ensuring accurate insights from incomplete data.

python sklearn data-imputation simple-imputer knn-imputer sklearn-impute mice-imputer

Updated Oct 25, 2023
Python

bortch / second_hand_UK_car_challenge

Kaggle UK Used Car challenge

machine-learning random-forest kaggle knn-imputer

Updated Oct 30, 2021
Python

HuzeyfeAyaz / Knn-Imputer-With-Hamming-Distance

Filling missed data-points with the most common values among nearest neighbors

python python3 knn hamming-distance hamming knn-imputer

Updated Sep 14, 2022
Python

kritika755 / wafer_circleci

This flask web app is used to detect if a wafer(sensor chip) is default or not based on sensor readings.

python docker flask circleci random-forest sqlite numpy machine-learning-algorithms pandas xgboost heruko knn-imputer

Updated Jan 17, 2022
Python

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