“This AI Model Can Predict Customer Behavior 😱”

🚀 **Customer Segmentation Using Unsupervised Machine Learning Techniques**

In this project, we performed **Customer Segmentation** using advanced **Machine Learning Algorithms** to identify different customer groups based on their behavior and purchasing patterns. The project includes data preprocessing, clustering model implementation, performance comparison, and visualization using **Principal Component Analysis (PCA)**.

📌 **Algorithms Used:**
✔️ K-Means Clustering
✔️ Hierarchical Clustering
✔️ DBSCAN
✔️ Fuzzy C-Means

📊 **Tech Stack:**
Python | Pandas | NumPy | Scikit-learn | Matplotlib | Seaborn

🎯 **Project Outcome:**
After comparing all clustering models using evaluation metrics like Silhouette Score and Davies-Bouldin Index, **DBSCAN** was found to be the best performing algorithm for this dataset.

💡 This project helps businesses improve:
✔️ Targeted Marketing
✔️ Customer Retention
✔️ Personalized Recommendations
✔️ Business Growth Strategies

👩‍💻 **Developers:**
Sanghita Das
Alfiya Faridi
Aparna Singh
Niladri Biswas

🎓 Adamas University
Department of Computer Science & Engineering

#MachineLearning #CustomerSegmentation #DataScience #PythonProject #Clustering #DBSCAN #FinalYearProject #BCAProject #AIProject #PCA #UnsupervisedLearning

Видео “This AI Model Can Predict Customer Behavior 😱” канала logic loop