Data Analysis with Machine Learning
Ctrlk
  • Book Content
  • Chapter 1. Introduction to Data Analysis and Python Libraries
  • Chapter 2. Working with NumPy and Pandas
  • Chapter 3. Statistics and Probability
  • Chapter 4. Data Visualization
  • Chapter 5. Data Preprocessing and Cleaning
    • Let's build a Birthday GIFT site
    • Add basic header styling
    • Set the colors
    • Add shadow on text
    • We have a problem that flexbox can fix
    • Align-items
    • Flex-direction
    • Turn the header into a flexbox
    • Fix date and age design
    • Create the first gift
    • Replace the img with a div
    • Make elements change on hover
    • Add the hover effect
    • Create the next GIFt
    • Create two more GIFts
    • Create the final GIFt
    • Add the footer
    • Add a background gradient
    • Personalize the Birthday GIFt Site
    • Use GitHub Desktop to publish your Birthday GIFt Site
    • Deploying your Birthday GIFt Site
    • Use VS Code to edit your Birthday GIFt Site
    • GIFt site recap
  • Chapter 6. Feature Engineering
  • Chapter 7. Understanding EDA Frameworks
  • Chapter 8. Linear Algebra for Machine Learning
  • Chapter 9. Linear Regression
  • Chapter 10. Model Evaluation and Polynomial Regression
  • Chapter 11. Logistic Regression
  • Chapter 12. Classification Techniques
  • Chapter 13. Unsupervised Learning
  • Chapter 14. Clustering Techniques
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Chapter 5. Data Preprocessing and Cleaning

Let's build a Birthday GIFT siteAdd basic header stylingSet the colorsAdd shadow on textWe have a problem that flexbox can fixAlign-itemsFlex-directionTurn the header into a flexboxFix date and age designCreate the first giftReplace the img with a divMake elements change on hoverAdd the hover effectCreate the next GIFtCreate two more GIFtsCreate the final GIFtAdd the footerAdd a background gradientPersonalize the Birthday GIFt SiteUse GitHub Desktop to publish your Birthday GIFt SiteDeploying your Birthday GIFt SiteUse VS Code to edit your Birthday GIFt SiteGIFt site recap
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