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https://github.com/azaz9026/eda
Exploratory Data Analysis (EDA) refers to the method of studying and exploring record sets to apprehend their predominant traits, discover patterns, locate outliers, and identify relationships between variables. EDA is normally carried out as a preliminary step before undertaking extra formal statistical analyses or modeling.
https://github.com/azaz9026/eda
data-cleaning data-visualization encoding machine-learning matplotlib numpy pandas plotly python3 seaborn sklearn-library
Last synced: about 15 hours ago
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Exploratory Data Analysis (EDA) refers to the method of studying and exploring record sets to apprehend their predominant traits, discover patterns, locate outliers, and identify relationships between variables. EDA is normally carried out as a preliminary step before undertaking extra formal statistical analyses or modeling.
- Host: GitHub
- URL: https://github.com/azaz9026/eda
- Owner: azaz9026
- Created: 2024-04-18T18:00:22.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2024-05-02T18:26:15.000Z (7 months ago)
- Last Synced: 2024-05-03T05:01:36.547Z (7 months ago)
- Topics: data-cleaning, data-visualization, encoding, machine-learning, matplotlib, numpy, pandas, plotly, python3, seaborn, sklearn-library
- Language: Jupyter Notebook
- Homepage:
- Size: 3.34 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md