Kaggle UK Used Car challenge
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Updated
Oct 30, 2021 - Python
Kaggle UK Used Car challenge
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.
This flask web app is used to detect if a wafer(sensor chip) is default or not based on sensor readings.
Filling missed data-points with the most common values among nearest neighbors
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.
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