Stationarity in Data Scientists' Roles

• Course: Statistical Learning
• Grade: 9.5/10

This repository contains a study on stationarity in data scientists' roles using R.

Techniques Used

• Principal Component Analysis (PCA)
• Factor Analysis
• Clustering
• KMeans
• Hierarchical Clustering

Data

• aug_train.csv: Dataset used for the analysis.

Files

• unsuper_learning.html: HTML report containing the results and documentation of the study.

Usage

To replicate the analysis, you can use the provided dataset and the R scripts mentioned in the report. Make sure to have the necessary R packages installed.

Contributing

Contributions are welcome! If you have any suggestions, improvements, or new insights to add, please fork the repository and submit a pull request with your changes.