Developing Predictive Models Directly within Pandas
Instruction: Discuss approaches for building simple predictive models within a Pandas framework, possibly integrating with scikit-learn.
Context: Assesses the candidate's ability to utilize Pandas not just for data manipulation but also for predictive modeling, bridging the gap between data processing and analysis.
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Pandas holds and validates the tabular data; an estimator library fits the model. This tiny synthetic example demonstrates the interface and a held-out prediction, not real-world model quality.
```python import numpy as np import pandas as pd from sklearn.pipeline import make_pipeline from sklearn.impute import SimpleImputer from sklearn.linear_model import LinearRegression from sklearn.metrics import mean_absolute_error...