Knowledge Check

Which of these is the last step of an iteration within the CRISP-DM process?

If a model predicts the number of days a customer takes to come back to a company's website, which metric is the most adequate to assess the performance of the model?

Machine Learning steps generally followed 1) [blank_start]_________________________[blank_end] 2) [blank_start]_________________________[blank_end] 3) [blank_start]_________________________[blank_end] 4) [blank_start]_________________________[blank_end] 5) [blank_start]_________________________[blank_end]

A face recognition model for accessing a gym is posing issues because it denies access to too many customers. Why might this be?

What is PII?

What is used to compare the predicted and actual values of a binary classification model?

A weather forecast model must update its predictions first thing in the morning, everyday. It is trained on daily historical data, available publicly, but that data is only refreshed at noon each day, so it is not available at the correct time necessary for updating the model's predictions. How could this problem be solved?

An online retail company wants to improve the speed at which it analyzes how users interact with its website. What is the most pressing architectural question you would address first?

Which module would you use to evaluate the performance of a binary classifier using scikit-learn?

After sampling 10,000 values of a random variable you observe that the mode, median, and mean are the same. What is the most likely variable distribution?

Which technique can be useful to handle highly imbalanced true/false labels?

You have a dataset with Female and Male features. What will be the feature names when the code below is executed? ```import pandas as pd def azureml_main(dataframe1 = None, dataframe2 = None): pd.get_dummies(dataframe1) return dataframe1,```

You have a dataset that you want to use for your company's ML algorithm. It has 30 dimensions and you want to reduce the size to 3 dimensions to decrease memory usage and computation time. Which method should you choose?

What is Kubernetes?

Your team is building a data engineering and data science development environment. The environment must support the following requirements: ✑ support Python and Scala ✑ compose data storage, movement, and processing services into automated data pipelines ✑ the same tool should be used for the orchestration of both data engineering and data science support workload isolation and interactive workloads ✑ enable scaling across a cluster of machines You need to create the environment. What should you do?