🔥
Exploratory Data Analysis (EDA)
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  • 👋Welcome!
  • Course Content
    • 1. Introduction
    • 2. Fundamentals
    • 3. Dataset Selection and Understanding
    • 4. Data Cleaning and Preprocessing
    • 5. Techniques and Approaches
    • 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
    • ⛏️Python tools
    • ®️® ® ® The R Project
    • 🌀Data Exploration
    • 🎯Data Quality
    • 📔Data Profiling
    • 📺Visualization
  • Tech Exploration
    • 🎬Youtube
    • ☁️Github
    • 🔬Lab
    • 💼Case Study
  • Reference
    • API Reference
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  1. Tech Exploration

☁️Github

  • PacktPublishing/Hands on Exploratory Data analysis with Python

  • code4kunal/eda-python-examples

  • SouRitra01/Exploratory-Data-Analysis-EDA-in-Banking-Using-Python

  • sandipanpaul21/EDA-in-Python

  • vharivinay/python-eda-viz

  • demonpratapdemon/Exploratory-Data-Analysis-EDA-and-PreProcessing

  • PacktPublishing/Python-for-Data-Analysis-step-by-step-with-projects-

  • sandyy2505/Cardio Good Fitness Project

  • ajaymache/Data analysis of used car database

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Last updated 2 years ago