StrataScratchEDA

🏆 UCI Datathon 2024 1st Place: Best Analysis of Airbnb Market in Dublin [Sponsored by StrataScratch]
Given StrataScratch datasets, our team performed an Exploratory Data Analysis (EDA) to analyze, visualize, and present market demand and supply, aiming to elevate the Airbnb experience for guests and hosts. Leveraged tools such as DeepNote, Alteryx Designer, and Python libraries (Pandas, Matplotlib, Seaborn, NumPy, Scikit-Learn). Formed visualizations such as Day & Month Performance Heatmap, Geographical Heat Maps, and tested/trained RandomForestClassifier ML model to achieve 89.35% accuracy.
Devpost: https://devpost.com/software/lost-in-dublin

Name		Name	Last commit message	Last commit date
Latest commit History 22 Commits
EDA_final.ipynb		EDA_final.ipynb
README.md		README.md
StrataScratch Data Challenge_ Market Analysis in Dublin.pdf		StrataScratch Data Challenge_ Market Analysis in Dublin.pdf
Summary Stats_EDA.yxmd		Summary Stats_EDA.yxmd
contacts.tsv		contacts.tsv
contacts_v2.tsv		contacts_v2.tsv
searches.tsv		searches.tsv
searches_contacts_joined.tsv		searches_contacts_joined.tsv
searches_v2.tsv		searches_v2.tsv

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