IN TAMIL 🔥🦸 CLUSTERING PROJECT USING KMEANS DATA SCIENCE PROJECT скачать в хорошем качестве

IN TAMIL 🔥🦸 CLUSTERING PROJECT USING KMEANS DATA SCIENCE PROJECT

🚀 In this video, I built a Customer Complaint Clustering Project using real-world financial data. Using KMeans Clustering, TF-IDF, and PCA, I discovered hidden patterns in customer complaints related to banking, loans, fraud, and credit disputes. This is a complete Unsupervised Machine Learning project from data preprocessing to visualization. --- 🔍 What You’ll Learn: ✅ Text preprocessing for NLP ✅ TF-IDF vectorization ✅ KMeans clustering ✅ PCA for visualization ✅ How to interpret clusters ✅ Real-world business insights --- 🛠 Technologies Used: • Python • Pandas • Scikit-learn • TF-IDF • KMeans • PCA • Matplotlib --- 💡 Real-World Use Case: Banks and financial institutions can use clustering to: • Detect fraud complaint trends • Identify loan-related issues • Understand customer pain points • Improve risk monitoring systems --- If you are learning: Machine Learning Data Science NLP Unsupervised Learning This project will help you understand clustering practically. --- 🔥 Subscribe for more ML projects 👍 Like if you learned something new 💬 Comment if you want advanced version (BERT + DBSCAN) --- #DataScienceProject #MLPortfolio #FinalYearProject #EngineeringProject #ResumeProject #PlacementPreparation#MachineLearning #DataScience #KMeans #Clustering #NLP #PythonProject #UnsupervisedLearning #TFIDF #PCA #AIProject