Design an ML pipeline for demand forecasting
Last updated: April 20, 2026
Quick Overview
Design an end-to-end ML system for demand forecasting, covering data collection, feature engineering, model selection, training, and serving.
Redfin
April 20, 20267
4
324 solved
Design an end-to-end ML system for demand forecasting, covering data collection, feature engineering, model selection, training, and serving.
Machine learning questions at Redfin test both theoretical understanding and practical experience. This Technical Screen question evaluates your knowledge of ML fundamentals and your ability to apply them to real-world problems.
What the Interviewer Expects
- Explain the concept clearly with intuitive examples
- Discuss when and why to use this technique
- Identify common pitfalls and how to avoid them
- Compare with alternative approaches at a high level
Key Topics to Cover
How to Approach This
- Understand the bias-variance trade-off. High training accuracy but low test accuracy signals overfitting.
- Choose evaluation metrics carefully based on the problem. Accuracy alone is often insufficient.
- Feature engineering is often more impactful than model selection.
- Know when to use tree-based models (tabular data) vs neural networks (unstructured data).
- Handle class imbalance with SMOTE, class weights, or appropriate loss functions.
Possible Follow-up Questions
- What regularization technique would you use and why?
- How would you handle a highly imbalanced dataset?
- How would you ensure reproducibility in your ML pipeline?
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Explore ML Interview PrepSample Answer
Core Concept: Demand Forecasting in ML
Demand forecasting involves predicting future customer demand for properties based on historical data and various influencing factors. In a real estate context, this could include factors such as hist...
How It Works: Building the ML Pipeline
The ML pipeline for demand forecasting consists of several stages:
- Data Collection: Gather historical sales data, property features, and external factors (e.g., economic indicators).
- **Featu...
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