Using the Elbow Method and Silhouette Analysis to find the optimal K in K-Means Clustering.
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Jan 27, 2024 - Jupyter Notebook
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silhouette-analysis
Here are 12 public repositories matching this topic...
Utilized Python-based unsupervised machine learning algorithms, including K-Means and DBSCAN, to effectively segment the mall customer market.
python statistical-analysis dbscan-clustering unsupervised-machine-learning knn-classification elbow-method kmeans-clustering-algorithm silhouette-analysis
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Oct 7, 2023
The project uses KMeans clustering on the Global Superstore dataset to categorize customers based on their buying habits, aiming to help retailers make better business decisions by tailoring their marketing strategies and improving their inventory management.
data-science machine-learning plotly seaborn kaggle matplotlib kmeans elbow-method silhouette-analysis
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Feb 18, 2024 - Jupyter Notebook
Analysis to optimize services & resident satisfaction in senior living facilities by segmenting population based on characteristics & behaviors.
data-science machine-learning modeling jupyter-notebook pandas data-visualization seaborn unsupervised-machine-learning k-means-clustering elbow-method sklearn-library matplotlib-pyplot silhouette-analysis
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Jun 12, 2024 - Jupyter Notebook
Customer clustering using silhouette K-means and silhouette analysis on Python. Also using logistic regression on Python to predict top 30 customers.
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Dec 14, 2022 - Jupyter Notebook
This project explores customer segmentation and market analysis in the context of online retail using an online retail dataset. By applying advanced analytics, we aim to uncover insights that can drive strategic decisions and enhance business performance.
python data machine-learning clustering data-visualization data-analysis kmeans-clustering market-analysis silhouette-analysis
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Apr 15, 2024 - Jupyter Notebook
Creating predictive models to classify Trump's vote share and clustering counties based on demographics and economic variables. Report findings in PDF with detailed methodologies, model assessments, and R code for the project.
r statistics random-forest clustering cross-validation variable-importance classification support-vector-machine predictive-analytics data-cleaning decision-tree model-evaluation hierarchical-clustering model-interpretation bootstrap-sampling agglomerative-algorithm silhouette-analysis
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Apr 17, 2024 - R
Unsupervised machine learning
python eda data-visualization pca-analysis hierarchical-clustering unsupervised-machine-learning k-means-clustering calinski-harabaz-score silhouette-analysis davies-bouldin-score
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Oct 24, 2023 - Jupyter Notebook
Unsupervised Learning - Using K Means algorithm to Cluster the customers.
machine-learning modeling pandas data-visualization seaborn kmeans-clustering unsupervised-machine-learning elbow-method datacleaning sklearn-library matplotlib-pyplot silhouette-analysis
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May 3, 2023 - Jupyter Notebook
Learning Styles Segmentation using K-Prototypes
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Dec 7, 2022 - Jupyter Notebook
An analysis and approach to customer segmentation
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Oct 30, 2022 - Jupyter Notebook
Data Mining - EDA, Feature Selection, Standardize, Remove Global Outliers, Normalize, Feature Extraction (with PCA), Clustering, Classification (baseline models and hyperparameter tuning with GridSearchCV).
data-mining clustering eda pca-analysis classification hyperparameter-tuning svm-classifier k-means-clustering gridsearchcv knn-classifier silhouette-analysis gaussian-mixture-clustering
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Aug 12, 2022 - Jupyter Notebook
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