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Exploratory Data Analysis (EDA)
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  • 👋Welcome!
  • Course Content
    • 1. Introduction
      • EDA: Uncovering Insights and Patterns
      • Why EDA?
      • Importance of EDA
      • The role of EDA in the data analysis process
      • A Comprehensive Examination
      • Code & Practice
      • Basic Concept
    • 2. Fundamentals
      • Lifecycle
        • Data Science
        • EDA
    • 3. Dataset Selection and Understanding
      • Kaggle
      • Github
    • 4. Data Cleaning and Preprocessing
    • 5. Techniques and Approaches
      • Types of EDA
    • 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 Library
      • 🐼Pandas
      • 🧊Numpy
      • 📊Matplotlib
      • 📈Seaborn
      • 📶Plotly
      • 🤹SciPy
      • 💫Statsmodels
      • 👂Scikit-learn
      • 🗳️Yellowbrick
    • ⛏️Python tools
    • ®️® ® ® The R Project
    • 🌀Data Exploration
    • 🎯Data Quality
    • 📔Data Profiling
    • 📺Visualization
  • Tech Exploration
    • 🎬Youtube
    • ☁️Github
    • 🔬Lab
    • 💼Case Study
  • Reference
    • API Reference
      • Pets
      • Users
      • Quick Start
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  1. Tech Exploration

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Last updated 1 year ago

🎬
Exploratory Data Analysis Tutorial | What Is EDA | How EDA Works | EDA In Python | Intellipaat
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Live Day 2-Live Session On EDA And Feature Engineering- Black Friday Dataset
Live Day 3-Live Session On EDA And Feature Engineering- Flight Price Prediction Dataset
Step By Step Process In EDA And Feature Engineering In Data Science Projects
Exploratory Data Analysis(EDA) of Titanic dataset
Exploratory Data Analysis (EDA) Using Python | Python Data Analysis | Python Training | Edureka
Exploratory Data Analysis with Pandas Python
How to Do Data Exploration (step-by-step tutorial on real-life dataset)