Airbnb Data Analysis & Price Prediction Using Python | Beginner Friendly DWDM Project

📊 Airbnb NYC Data Analysis & Price Prediction using Python

In this project, I analyze and visualize Airbnb listings data from New York City to uncover insights and build predictive models. This video walks through the complete data science pipeline – from data cleaning and exploration to machine learning and model evaluation.

✨ Key Highlights:
🔹 Data Preprocessing & Cleaning
🔹 Exploratory Data Analysis (EDA)
🔹 Data Visualization (Heatmaps, Violin plots, WordCloud)
🔹 Feature Engineering & Label Encoding
🔹 Price Categorization
🔹 ML Models: LightGBM, Linear Regression, Decision Tree
🔹 Fuzzy Matching for Title Search

📌 Tools & Libraries:
- Python (Pandas, NumPy, Seaborn, Matplotlib)
- scikit-learn, LightGBM
- imbalanced-learn, TfidfVectorizer, WordCloud

✅ Target Audience:
This video is ideal for students, beginners in data science, and machine learning enthusiasts looking to build hands-on skills with real-world data.

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