Client Work(Assessment)|CO7093 Project Credit Score Prediction & Clustering|University of Leicester

Student | Client Work (Assessment) |CO7093 Big Data Analytics | University of Leicester
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This long video covers a complete data science project conducted under CO7093 Big Data & Predictive Analytics at the University of Leicester.
The project includes an Exploratory Data Analysis (EDA), credit score prediction using Random Forest and Logistic Regression, and customer clustering using KMeans.

🎯 Key Deliverables of the Project:
✅ Detailed EDA including distribution analysis, outlier detection, and correlation studies
✅ Predictive modeling using Logistic Regression and Random Forest
✅ ROC Curve analysis and model performance evaluation (AUC Score)
✅ Customer segmentation using KMeans Clustering (Elbow Method justified)
✅ Business insights for credit risk and customer behavior profiling

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