Python for Data Science and AI - 17 (Data Science | Complete Lifecycle Explained)

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Learn the complete Data Science lifecycle using Python, including problem definition, data collection, cleaning, EDA, feature engineering, model building, evaluation, and deployment. This beginner-friendly tutorial includes real code examples using Pandas, Matplotlib, Seaborn, and Scikit-learn to help you understand each phase clearly. Perfect for aspiring data scientists and Python learners.
  1. Arfan Shahzad
  2. Python
  3. Artificial Intelligence
  4. AI
  5. Python for DS and AI
  6. Data science with Python
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