➕ Radar charts por grupo (ggRadar): Compara perfiles medios de cada clúster. ¿En qué se parecen o diferencian? ➕ Heatmap con agrupación (pheatmap): Fusión de calor y estructura. Valores estandarizados y similitudes visuales. #kmeans #programming #cluster #cienciadedatos

Day 48 — KMeans Deep Analysis Silhouette Score: 0.408 Moderate cluster separation. Analyzed centroids in 2 spaces: Scaled - what the model optimizes Original value - real business meaning Scaled = math Transformed = strategy Interpretation is🤩 #100DaysDataScience #ML #KMeansI

Day 47/100 — Evaluated my K-Means model Found 4 customer segments: High income, high spend High income, low spend Mid income, mid spend Young high spenders Insight: Age influences spending. Clustering ≠ just grouping. It’s behavioral intelligence. #100DaysOfDataScience #KMeans

Day 46/100 — KMeans Model Used the Mail Customers dataset (200 entries, no null) to perform customer segmentation. • Chosen Features: Age, Annual Income, Spending Score • Standardized with StandardScaler • Used Elbow Method to get K = 3 #100DaysOfDataScience #Day46 #KMeans

K-Means Clustering in Modern AI K-Means is an unsupervised algorithm that groups data into clusters by assigning each point to the nearest cluster center based on similarity. Use case: Customer segmentation #SIC_INDIA_2025 #SamsungInnovationCampus #KMeans #AI

Day 43/100 — Introduction to K-Means Clustering First step into unsupervised learning. No labels. Just patterns. Just structure. K-Means groups data by similarity and updates centroids until convergence. ML😀😀�� #100DaysOfDataScience #MachineLearning #KMeans #ClusteriUPU

Completed 2 ML projects in one notebook ✔ K-Means for Customer Segmentation ✔ K-Means for Image Compression Learning how unsupervised learning works in real-world scenarios! #LearningInPublic #DataScienceStudent #KMeans colab.research.google.com/drive/1RNWe4qd…

K-Means groups data without labels. Assign → update → repeat. Simple idea, powerful for discovering hidden structure. ML Unpacked. (^_^) #MachineLearning #KMeans #Clustering #UnsupervisedLearning #MLUnpacked

🧠 Data Science Quiz Time! 📊 Which algorithm is used for clustering? 🤔 A) Logistic Regression B) Decision Tree C) K-Means D) Linear Regression 💬 Comment your answer! 🎓 New batchtally.so/r/mREvJQ6FnAZz #DataScience #KMeans #MachineLearning #QuizTime #AsianTechnolHwe5uh

Day 44/100 - K-clusters with visualization. Went for volleyball training, just did the little I could do. We go again tomorrow! #unsupervisedlearning #kmeans #kclusters

Day-31-:📊 Exploring K-Means Clustering with hands-on coding and visualizations. Learning, implementing, and improving one step at a time �� #MachineLearning #KMeans #LearningByDoin@g @Apnacollege@X @ShradhaKhaprasr

Day 11/30 of my ML journey 🚀 Built a PCA + k-Means customer segmentation project. PCA helped reduce noise & dimensions before clustering for clearer insights. Check it out:github.com/Sudhanshugocha…P #MachineLearning #PCA #KMeans #DataScience #MLJourney #BuildInPublicm

Built a fast 50-sec UI demo of K-Means clustering today! Generated random data → selected K → watched clusters form + centroids update in real-time. Clustering is the backbone of vector DBs & recsys — loved visualizing it 🔥 #GenAI #DSA #KMeans #AI@rohit_negi9f