Imported codes does not work for learning path "Foundations of data science for machine learning"

Question

Been following the learning path Foundations of data science for machine learning

but whenever the exercise involves custom imported codes, the code will not run.

This question is related to the following Learning Module

Answer 1

Hi Yuan Qing Tan,
You're encountering issues in the Microsoft Learn "Foundations of Data Science for Machine Learning" module because the exercises rely on a custom module named graphing, which is not available in the learning environment. This causes import errors, such as "Import 'graphing' could not be resolved," and leads to further problems when trying to run visualizations. Additionally, the visualization errors you're seeing, such as "this.Plotly.newPlot is not a function" or "Cannot read properties of undefined (reading 'Config')," suggest that the interactive Plotly library used by the platform is either misconfigured or not fully supported in the notebook environment. To work around this, you can manually replace the graphing.scatter_2D() function with standard Python libraries such as matplotlib to create scatter plots and regression lines.

import matplotlib.pyplot as plt
import numpy as np

for feature in ["male", "age", "protein_content_of_last_meal", "body_fat_percentage"]:
    formula = "core_temperature ~ " + feature
    simple_model = smf.ols(formula=formula, data=dataset).fit()

    print(feature)
    print("R-squared:", simple_model.rsquared)

    # Plot manually
    plt.figure()
    plt.scatter(dataset[feature], dataset["core_temperature"], label="Data")
    
    # Regression line
    x_vals = np.linspace(dataset[feature].min(), dataset[feature].max(), 100)
    y_vals = simple_model.params[1] * x_vals + simple_model.params[0]
    plt.plot(x_vals, y_vals, color='red', label="Regression Line")
    
    plt.title(f"{feature} vs Core Temperature")
    plt.xlabel(feature)
    plt.ylabel("core_temperature")
    plt.legend()
    plt.show()

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