https://github.com/synthstellar/data-preprocessing-with-python

A data preprocessing repository focused on cleaning, transforming, and preparing datasets for machine learning tasks. It includes functions for handling missing values, scaling, encoding, and feature engineering for improved model performance.
https://github.com/synthstellar/data-preprocessing-with-python

data data-cleaning feature-engineering machine-learning numpy pandas preprocessing python scikit-learn

Last synced: 2 days ago
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A data preprocessing repository focused on cleaning, transforming, and preparing datasets for machine learning tasks. It includes functions for handling missing values, scaling, encoding, and feature engineering for improved model performance.

• Host: GitHub
• URL: https://github.com/synthstellar/data-preprocessing-with-python
• Owner: SynthStellar
• Created: 2025-01-26T15:32:49.000Z (8 days ago)
• Default Branch: main
• Last Pushed: 2025-01-27T05:23:55.000Z (8 days ago)
• Last Synced: 2025-01-27T06:24:23.155Z (8 days ago)
• Topics: data, data-cleaning, feature-engineering, machine-learning, numpy, pandas, preprocessing, python, scikit-learn
• Language: Python
• Homepage:
• Size: 5.86 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Data Preprocessing with Python

### Overview

This repository includes beginner-friendly examples and exercises for data preprocessing using Python.  

The focus is on understanding and applying basic techniques to prepare data for analysis or machine learning models.

### Features

- Handling missing values  

- Encoding categorical variables  

- Normalization and standardization of data  

- Feature scaling techniques  

- Exploratory data analysis (EDA)  

- 5 hands-on coding exercises  

### Datasets

- Dataset: [Data.csv] - (https://drive.google.com/file/d/1O1t4QuIQkREoVFlohkGQyIWDCSBGmgTI/view?usp=sharing)

### Prerequisites

- Python 3.x installed  

- Required libraries: `pandas`, `numpy`, `matplotlib`, `scikit-learn`  

### Skills Demonstrated

- Python basics for data manipulation  

- Data preparation techniques for AI/ML