Machine Learning-Powered Clustering Analysis for Survey Data
0
Data Scientist
Data Analyst
Statistician
Python
scikit-learn
seaborn
Skills Showcased:
Clustering Techniques (K-Means, GMM, DBSCAN)
Adjusted Rand Index (ARI) for Model Evaluation
SurveyMonkey Data Analysis
Python (Pandas, Scikit-learn)
Data Storytelling
Project Description:
Conducted a clustering analysis on survey data to identify key respondent segments. Applied GMM and K-Means, evaluating model performance using the Adjusted Rand Index (ARI). Extracted meaningful insights through dimensionality reduction techniques (PCA, t-SNE) and presented results with compelling data visualizations.
Deliverables:
Jupyter Notebook with code & results
Comparison of clustering methods with ARI evaluation
Visualizations explaining cluster patterns
Like this project
0
Posted Feb 3, 2025
Conducted a clustering analysis on survey data to identify key respondent segments. GMM and K-Means and other algorithms.
Likes
0
Views
1
Tags
Data Scientist
Data Analyst
Statistician
Python
scikit-learn
seaborn
R Shiny Dashboard with MySQL for Interactive Data Analysis
Financial Forecasting Model (S&P 500 Return Prediction)