https://github.com/sadia-khan13/data-preprocessing
Welcome to the Data preprocessing Repository! This repository is dedicated to showcase the comprehensive resources and implementations related to Data Preprocessing using Python and Jupyter Notebook.
https://github.com/sadia-khan13/data-preprocessing
artificial-intelligence data-analysis data-mining data-preprocessing data-science jupyter-notebook matplotlib numpy pandas python seaborn-python sklearn
Last synced: 2 months ago
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Welcome to the Data preprocessing Repository! This repository is dedicated to showcase the comprehensive resources and implementations related to Data Preprocessing using Python and Jupyter Notebook.
- Host: GitHub
- URL: https://github.com/sadia-khan13/data-preprocessing
- Owner: Sadia-Khan13
- Created: 2025-03-10T15:05:56.000Z (2 months ago)
- Default Branch: my-new-branch
- Last Pushed: 2025-03-10T16:13:13.000Z (2 months ago)
- Last Synced: 2025-03-10T17:27:52.076Z (2 months ago)
- Topics: artificial-intelligence, data-analysis, data-mining, data-preprocessing, data-science, jupyter-notebook, matplotlib, numpy, pandas, python, seaborn-python, sklearn
- Language: Jupyter Notebook
- Homepage:
- Size: 346 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# 🛠 Data Preprocessing with Python
This repository contains essential techniques and implementations for Data Preprocessing using Python and Jupyter Notebook. Data preprocessing is a critical step in any data science or machine learning workflow, ensuring raw data is clean, structured, and ready for analysis.
📂 Repository Contents
🧹 Data Cleaning – Handling missing values, duplicates, and inconsistencies
🔄 Data Transformation – Scaling, normalization, and encoding categorical data
🏗️ Feature Engineering – Creating, modifying, and selecting important features
🔻 Dimensionality Reduction – PCA, LDA, and other techniques
🚨 Outlier Detection & Handling – Identifying and dealing with anomalies
📊 Real-world Case Studies – Applying preprocessing techniques on real datasets
🛠 Tools & Technologies Used
Programming Language: Python 🐍
Notebook Environment: Jupyter Notebook 📒
Key Libraries: NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, etc.
This repository serves as a valuable reference for anyone working with data, from beginners to experienced data scientists