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A Beginner’s Guide to Data Cleaning & Preprocessing

  • India's booming tech industry has seen a surge in demand for data science and AI professionals, with cities like Chennai emerging as hubs for AI-driven innovation.
  • Data cleaning and preprocessing involve handling missing values, removing duplicates, correcting inconsistencies, and transforming data into a suitable format to improve data quality and enhance machine learning model performance.
  • Techniques for dealing with missing values, duplicates, standardizing formats, handling outliers, data transformation, integration, and reducing data volume are important for effective data cleaning and preprocessing.
  • Acquiring data cleaning and preprocessing skills through an artificial intelligence course in Chennai is crucial for aspiring data scientists to excel in the field and meet the growing demand in India's tech industry.

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