"# Exploratory-Data-Analysis-and-Feature-Engineering"

🧠 EDA & Feature Engineering Projects Collection

Welcome to this comprehensive repository focused on Exploratory Data Analysis (EDA) and Feature Engineering (FE) across various datasets and domains.

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📂 Repository Highlights

• 🔍 Deep EDA: Visual + statistical exploration of datasets
• 🛠️ Feature Engineering: Transformations, encodings, interaction features & more
• 📊 Visualizations: Matplotlib, Seaborn, Plotly, Pandas Profiling
• 🔄 Preprocessing Pipelines: Handling missing data, scaling, encoding, etc.
• 📁 Real-world Datasets: Flight Pricing, California Housing, Iris, Text data, Wine Quality etc.

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📦 Tools Used

• Python 3.12

• Jupyter Notebooks

• 🐼 Pandas, 📊 Matplotlib, 🎨 Seaborn, 🌀 Plotly

• 🔢 NumPy, Scikit-learn

• 🔁 MLflow (for versioning in some notebooks)

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🚀 How to Use

1. Clone this repository:

   git clone https://github.com/vishalgoyal25/Exploratory-Data-Analysis-and-Feature-Engineering.git