ML Salary Predictor Part 2: Linear Regression & What Actually Impacts Developer Salaries

In this video, we train and evaluate a linear regression model to predict developer salaries using the cleaned 2023 Stack Overflow Survey data from Part 1. You'll learn how to interpret model performance, analyze feature importance through coefficients, and understand where the model succeeds and struggles. This session focuses on extracting actionable insights about what actually impacts developer salaries—from technical skills to role types and company characteristics.

What You'll Learn:
What You'll Learn:
Handling multicollinearity in correlated features (experience metrics)
Training linear regression models with scikit-learn
Interpreting model coefficients to understand feature impact
Analyzing residual plots to identify model weaknesses
Evaluating performance across different salary ranges
Identifying controllable factors that boost salary (skills, roles, tools)
Understanding model limitations and next steps for improvement

Recommended Prerequisites:
Watch Part 1 (data cleaning) here →    • Predicting Developer Salaries with Python ...  
Machine Learning in Python → https://www.dataquest.io/path/machine...
Familiarity with pandas, NumPy, and basic data manipulation

Access the Project: https://app.dataquest.io/m/950

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