📊 Data Analysis Repository

A collection of data analysis projects and practice notebooks using Python, Pandas, and Scikit-Learn.
This repository focuses on exploring datasets, handling missing values, and building a strong foundation in data preprocessing and analysis.

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🧠 What This Repository Covers

• Data cleaning and preprocessing
• Handling missing values
• Exploratory Data Analysis (EDA)
• Working with real-world datasets
• Basic machine learning using Scikit-Learn
• Pandas operations and data manipulation

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📂 Datasets Used

• Airbnb NYC Dataset (AB_NYC_2019.csv)
• Google Play Store Dataset
• Custom datasets for practice

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🛠️ Tools & Technologies

• Python 🐍
• Pandas
• NumPy
• Scikit-Learn
• Jupyter Notebook

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📂 Files Included

• 📓 DataSetWalkthrough.ipynb – Dataset exploration
• 📓 NullValueFileHandeling.ipynb – Handling missing values
• 📓 Pandas.ipynb – Pandas operations
• 📓 sklearn.ipynb – Basic ML with Scikit-Learn
• 🐍 demo.py – Python script example
• 📊 Datasets – Airbnb NYC, Google Play Store, and custom data

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🎯 Purpose

This repository is created to:

• Practice data analysis concepts
• Build a strong foundation in data science
• Work with real-world datasets
• Improve problem-solving skills using Python

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🚀 Future Improvements

• Add data visualizations (Matplotlib, Seaborn)
• Include advanced EDA projects
• Build end-to-end ML pipelines
• Add project-based case studies

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✨ Author

Anupam Singh
Aspiring Data Analyst & Developer