Answer:
a goal development checklist
Explanation:
Ryan should apply a filter/criteria on the Courses column and view all the courses that show Sociology
Answer:
b
Explanation:
First, we need to initialize the classifier.
Then, we are required to train the classifier.
The next step is to predict the target.
And finally, we need to evaluate the classifier model.
You will find different algorithms for solving the classification problem. Some of them are like decision tree classification etc.
However, you need to know how these classifier works. And its explained before:
You need to initialize the classifier at first.
All kinds of classifiers in the scikit-learn make use of the method fit(x,y) for fitting the model or the training for the given training set in level y.
The predict(x) returns the y which is the predicted label.And this is prediction.
For evaluating the classifier model- the score(x,y) gives back the certain score for a mentioned test data x as well as the test label y.
Answer:
A. A quiet room
Explanation:
Because if you open the windows the will be noise
a huge room will echoe
a room with air conditioning will make noise
Answer:
Option (B) is the correct of this question.
Explanation:
The performance of a monitor and process counters to observe the performance is the tool or method which determines the new software is hogging the computer resources. So this way the user don't have any problem with computer.
- You can view log files in Windows Performance Monitor to see a visual representation of the performance counter data.
- Performance counters are bits of code that log, count, and measure software events that allow a high-level view of user trends.
- To customize the tracking of AD FS output using the Quality Monitor.
- Type Output Monitor on Start screen, then click ENTER.
- Expand Data Collector Sets in the console tree, right-click on User Specified, point to New, then select Data Collector Collection.
Other options are incorrect according to the given scenario.
