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May 21, 2025 - Python
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percentile-method
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This project focusing on statistical analysis to understand and prepare data for potential machine learning applications. The dataset house_price.csv includes property prices in Bangalore. The analysis aims to perform exploratory data analysis (EDA), detect and handle outliers, check data distribution and normality, and analyze correlations.
python correlation numpy heatmap exploratory-data-analysis data-transformation pandas seaborn scipy scatter-plot matplotlib outlier-detection box-plot log-transformation data-distribution iqr-method percentile-method histplot outlier-handling z-score-method
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Aug 28, 2024 - Jupyter Notebook
This repository is totally focused on Feature Engineering Concepts in detail, I hope you'll find it helpful.
standardization feature-engineering principal-component-analysis binarization z-score normalisation onehot-encoding simpleimputer ordinal-encoding labelencoder knn-imputer winsorization iterative-imputer percentile-method discritisation mean-median-imputation frequent-value-imputation
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Apr 7, 2023 - Jupyter Notebook
Outlier_Exterminator is a Python tool for detecting and treating outliers using IQR, Z-Score, and Percentile methods. It supports trimming, capping, and Winsorization, demonstrated in a Jupyter Notebook.
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Dec 27, 2024 - Jupyter Notebook
An outlier is a data point that is noticeably different from the rest. They represent errors in measurement, bad data collection, or simply show variables not considered when collecting the data.An outlier is a data point that is noticeably different from the rest. They represent errors in measurement, bad data collection, or simply show variabl…
outlier-detection trimming feature-engineering z-score cappings iqr-method winsorization-technique percentile-method
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May 9, 2022 - Jupyter Notebook
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