CS-6309 - Introduction to Machine Learning oed answer key
Showing 41 to 60 of 163 total answers.
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Awesome StudentQuestion • Introduction to Machine Learning
To combine two arrays, you can use the npconcat() function instead of the + operator
Answer
False
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Awesome StudentQuestion • Introduction to Machine Learning
Because the RSS is consistent across datasets, a straight line has a minimal variance
Answer
True
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Awesome StudentQuestion • Introduction to Machine Learning
The number of rows required for training cannot be less than the value of k More than
Answer
False
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Awesome StudentQuestion • Introduction to Machine Learning
The tail() function in Python displays the last five rows of the dataframe by default
Answer
True
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Awesome StudentQuestion • Introduction to Machine Learning
A better way to visualize is to start the x-axis at 45 and increase the y-range axis's
Answer
False
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Awesome StudentQuestion • Introduction to Machine Learning
All points can be separated linearly, nor can they be separated using the kernel tricks
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Awesome StudentQuestion • Introduction to Machine Learning
When the frequency is set to year, the last day of the month will be the day of each date
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Awesome StudentQuestion • Introduction to Machine Learning
When using a KNN, increasing k tends to make your prediction more resistant to data noise
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Awesome StudentQuestion • Introduction to Machine Learning
4To get the best value for k, choose the value of k that offers the least accuracy Maximum
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Awesome StudentQuestion • Introduction to Machine Learning
Overfitting indicates that your model makes a valiant effort to precisely fit all the data
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Awesome StudentQuestion • Introduction to Machine Learning
There are numerous classes and functions for handling polynomial regression in the StatLib
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Awesome StudentQuestion • Introduction to Machine Learning
Applying a trained model to data is what fit() and transform() are designed to do predict()
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Awesome StudentQuestion • Introduction to Machine Learning
Clustering helps in forecasting the future by estimating the relationship between variables
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Awesome StudentQuestion • Introduction to Machine Learning
To train a model in Scikit-learn, you usually utilize the predict() function Fit() function
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Awesome StudentQuestion • Introduction to Machine Learning
Unsupervised learning algorithms aim to uncover associations in data that do not have labels
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Awesome StudentQuestion • Introduction to Machine Learning
NumPy index may also handle subtraction, multiplication, and division in addition to addition
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Awesome StudentQuestion • Introduction to Machine Learning
To illustrate how one variable influences the value of another, factor charts are widely used
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Awesome StudentQuestion • Introduction to Machine Learning
You may also load several interesting datasets in Scikitlearn, in addition to the Iris dataset
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Awesome StudentQuestion • Introduction to Machine Learning