Ford Motor Interview Questions, Process, and Tips

Linear regression is used for predicting continuous values, while classification is used for predicting discrete values.

• Linear regression is used when the output variable is continuous, such as predicting house prices based on features like size and location.

• Classification is used when the output variable is categorical, such as predicting whether an email is spam or not based on its content.

• Linear regression aims to f...read more

An outlier is a data point that differs significantly from other data points in a dataset.

• Outliers can skew statistical analyses and machine learning models.

• Examples of outliers include a person's weight being recorded as 1000 lbs, when the average weight is around 150 lbs.

• Outliers can be detected using statistical methods like Z-score or IQR.

K-means algorithm is a clustering technique that partitions data into k clusters based on similarity.

• Divides data points into k clusters based on centroids

• Iteratively assigns data points to the nearest centroid and updates centroids

• Continues until centroids no longer change significantly

• Example: Grouping customers based on purchasing behavior

Classification metrics are used to evaluate the performance of a classification model.

• Accuracy: measures the proportion of correctly classified instances out of total instances

• Precision: measures the proportion of true positive predictions out of all positive predictions

• Recall: measures the proportion of true positive predictions out of all actual positive instances

• F1 Score: harmonic mean of precision and recall, balan...read more

To create a payload for API testing, you need to understand the API endpoints, parameters, and expected data formats.

• Identify the API endpoints and the type of request (GET, POST, PUT, DELETE, etc.)

• Understand the parameters required for the API request (query parameters, headers, body)

• Refer to API documentation for details on expected data formats and sample payloads

• Use tools like Postman or Swagger to easily create an...read more

API call chaining is the process of making multiple API calls in a sequence, where the output of one call is used as input for the next call.

• API call chaining is commonly used in test automation to simulate user workflows.

• For example, a test scenario might involve logging in, navigating to a specific page, and then performing an action on that page.

• Each step in the scenario would be a separate API call, with the output