/gdsc-datapreprocessing-workshop

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GDSC data preprocessing workshop

Welcome to the Data Preprocessing Workshop! In this workshop, you will learn the fundamental techniques and best practices for preprocessing data before using it for analysis or machine learning tasks. Proper data preprocessing is crucial for ensuring that the data is clean, consistent, and ready for analysis.

Workshop Content

1. Introduction to Data Preprocessing

  • Understanding the importance of data preprocessing
  • Common challenges in real-world datasets

2. Data Cleaning

  • Handling missing data
  • Handling duplicate data
  • Outlier detection and treatment

3. Data Transformation

  • Feature scaling
  • Encoding categorical variables
  • Feature engineering

Requirements

  • Basic knowledge of Python programming language
  • Familiarity with libraries like Pandas, NumPy, and Scikit-learn is recommended