Clustering/preprocessing/ritwik
This notebook includes exploratory data analysis and preprocessing steps to prepare a health and lifestyle dataset for future clustering. Key updates in this MR:
- Visualized distributions of numeric and categorical features
- Removed target variable (NObeyesdad) for unsupervised learning
- Encoded categorical variables using Label and One-Hot Encoding
- Applied StandardScaler to normalize all features
- Dataset is now cleaned and scaled, ready for clustering
No clustering or modeling has been applied yet — this MR only covers the EDA and data preparation phase.