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Exploratory Data Analysis (EDA)
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  • 👋Welcome!
  • Course Content
    • 1. Introductionchevron-right
    • 2. Fundamentalschevron-right
    • 3. Dataset Selection and Understandingchevron-right
    • 4. Data Cleaning and Preprocessing
    • 5. Techniques and Approacheschevron-right
    • 6. Data Visualization
    • 7. Statistical Measures and Hypothesis Testing
    • 9. Case Studies
    • 11. Best Practices and Tips for Effective EDA
    • 12. Future Trends and Emerging Technologies
  • Dataset
    • ℹ️Kaggle
  • Tools and Software
    • ✨Data Analysis Tools
    • 🐍Python Librarychevron-right
    • ⛏️Python tools
    • ®️® ® ® The R Project
    • 🌀Data Exploration
    • 🎯Data Quality
    • 📔Data Profiling
    • 📺Visualization
  • Tech Exploration
    • 🎬Youtube
    • ☁️Github
    • 🔬Lab
    • 💼Case Study
  • Reference
    • API Referencechevron-right
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  1. Tech Exploration

🎬Youtube

  • Exploratory Data Analysis Tutorial | What Is EDA | How EDA Works | EDA In Python | Intellipaatarrow-up-right

  • Live Day 1-Live Session On EDA And Feature Engineering- Zomato Datasetarrow-up-right

  • Live Day 2-Live Session On EDA And Feature Engineering- Black Friday Datasetarrow-up-right

  • Live Day 3-Live Session On EDA And Feature Engineering- Flight Price Prediction Datasetarrow-up-right

  • Step By Step Process In EDA And Feature Engineering In Data Science Projectsarrow-up-right

  • Exploratory Data Analysis(EDA) of Titanic datasetarrow-up-right

  • Exploratory Data Analysis (EDA) Using Python | Python Data Analysis | Python Training | Edurekaarrow-up-right

  • Exploratory Data Analysis with Pandas Pythonarrow-up-right

  • How to Do Data Exploration (step-by-step tutorial on real-life dataset)arrow-up-right

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Last updated 2 years ago