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Practical Statistics and Machine Learning
Ctrlk
  • Welcome!
  • Work smart, not hard!
  • 🗃️Prepare your data
    • Ask statistical questions
    • Prepare your data
    • Cleaning your data
    • Programming in Data Science: the copy-and-paste version
      • Install and using packages
      • Data manipulation: add and delete
      • Data access: selection and filtering
  • 📊Descriptive Statistics
    • How to describe your data
    • Arts of Data Visualization
  • 📈Inferential Statistics
    • How to speak your mind confidently with data
    • Choosing the right statistical test: follow-along version
  • 🤖Statistical Modeling
    • What are mathematical models
    • Introduction to machine learning
    • Create your own AI: the copy-and-paste version
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  1. 🗃️Prepare your data
  2. Programming in Data Science: the copy-and-paste version

Data manipulation: add and delete

PreviousInstall and using packagesNextData access: selection and filtering

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