90-Day ML Placement Track

Goals

• Explain ML vs rule-based programming
• Understand rows/features/labels
• Train and evaluate a regression baseline

Learn

• What is ML
• Dataset thinking
• Regression framing
• MSE/MAE
• Gradient descent basics

Revise

• Mean
• Variance
• Standard deviation
• Derivative intuition

Coding Tasks

• Load CSV and create train/test split
• Train LinearRegression
• Compute MSE/MAE/R2
• Plot residuals

Interview Questions

• Explain linear regression without formulas
• Why does MSE punish outliers?
• What does a residual plot tell you?

Deliverables

• Notebook or script
• Metric table
• Residual chart
• Project explanation notes