ML Spring Camp Recruitment Tasks

This repository contains my submissions for the PClub ML Spring Camp recruitment tasks.

Tasks Attempted

Task 1: The Knot

• Performed exploratory data analysis to understand relationships between variables.
• Implemented linear regression as a baseline model.
• Applied feature transformation based on observed non-linear behavior.
• Evaluated model performance and discussed limitations.

Task 2: Project Phoenix

• Analyzed high-dimensional telemetry data without an explicit time variable.
• Inferred system progression using PCA as a proxy for time.
• Identified non-linear behavior in output progression.
• Modeled the relationship using polynomial regression.
• Generated predictions for future system output (submission.csv).

Files Included

• Task1_The_Knot.ipynb
• Task2_Project_Phoenix.ipynb
• submission.csv

The focus of these submissions is on reasoning, analysis, and model justification rather than maximizing predictive accuracy.