Navigating Data Science Career Paths: A Project for Job Change
Now that we have trained our Logistic Regression algorithm, the next step is to assess the performance. We will compare the true
y values with the predicted ones.
y_predto the scoring function.
Congratulations on building your first ML Pipeline. In this project, you have learned how to:
- Import your Data;
- Visually inspect it;
- Preprocess it (clean and impute it);
- Train and evaluate your ML algorithm.
Everything was clear?