MCQ IN COMPUTER SCIENCE & ENGINEERING

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COMPUTER SCIENCE AND ENGINEERING

MACHINE LEARNING

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
You are preprocessing a credit card fraud dataset that contains the column ‘Amount’. You want to determine what the average amount is for the cases where there is fraud. Which basic descriptive statistic could you use to achieve this?
A
Mode
B
Median
C
Standard Deviation
D
Mean
Explanation: 

Detailed explanation-1: -Step 2: Data Cleaning Next, this data flows to the cleaning step. To make sure the data paints a consistent picture that your pipeline can learn from, Cortex automatically detects and scrubs away outliers, missing values, duplicates, and other errors.

Detailed explanation-2: -Which of the following methods DOES NOT prevent a model from overfitting to the training set? Early stopping is a regularization technique, and can help reduce overfitting. Dropout is a regularization technique, and can help reduce overfitting. Data augmentation can help reduce overfitting by creating a larger dataset.

Detailed explanation-3: -What Amazon SageMaker option should the company use to train their ML models that reduces the management and automates the pipeline for future retraining? Create and train your XGBoost algorithm on your local laptop and then use an Amazon SageMaker endpoint to host the ML model.

Detailed explanation-4: -It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so.

There is 1 question to complete.
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