Challenge: Predict Equipment Failure Time
Predictive modeling plays a crucial role in engineering maintenance, allowing you to anticipate equipment failures and schedule repairs before breakdowns occur. In the previous chapter, you learned how predictive models can use historical data to estimate when a system might need attention. Now, you will apply this knowledge to a practical scenario using scikit-learn's LinearRegression: you have data on total operating hours and corresponding time-to-failure in days for several machines. Your goal is to build a model that predicts how long a machine will last before failing, given its operating hours.
Swipe to start coding
Given lists of machine operating hours and their corresponding time-to-failure in days, build a linear regression model to predict future failures.
- Fit a linear regression model using
hours_listas input andfailure_days_listas output. - Retrieve the model coefficient and intercept.
- Use the model to predict the time-to-failure for the given
query_hours. - Return the coefficient, intercept, and prediction.
Рішення
Дякуємо за ваш відгук!
single
Запитати АІ
Запитати АІ
Запитайте про що завгодно або спробуйте одне із запропонованих запитань, щоб почати наш чат
Чудово!
Completion показник покращився до 4.76Challenge: Predict Equipment Failure Time
Свайпніть щоб показати меню
Predictive modeling plays a crucial role in engineering maintenance, allowing you to anticipate equipment failures and schedule repairs before breakdowns occur. In the previous chapter, you learned how predictive models can use historical data to estimate when a system might need attention. Now, you will apply this knowledge to a practical scenario using scikit-learn's LinearRegression: you have data on total operating hours and corresponding time-to-failure in days for several machines. Your goal is to build a model that predicts how long a machine will last before failing, given its operating hours.
Swipe to start coding
Given lists of machine operating hours and their corresponding time-to-failure in days, build a linear regression model to predict future failures.
- Fit a linear regression model using
hours_listas input andfailure_days_listas output. - Retrieve the model coefficient and intercept.
- Use the model to predict the time-to-failure for the given
query_hours. - Return the coefficient, intercept, and prediction.
Рішення
Перейдіть на комп'ютер для реальної практикиПродовжуйте з того місця, де ви зупинились, використовуючи один з наведених нижче варіантівДякуємо за ваш відгук!
single
