CS-6309 - Introduction to Machine Learning oed answer key
Showing 121 to 140 of 163 total answers.
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Awesome StudentQuestion • Introduction to Machine Learning
It's critical to distinguish between the bars by setting their alpha to 05 because they may overlap (which makes them transparent)
Answer
True
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Awesome StudentQuestion • Introduction to Machine Learning
The plot() function draws points without connecting lines Depending on the inputs, may or may not be plot lines Scatter() function
Answer
False
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Awesome StudentQuestion • Introduction to Machine Learning
In mathematics, accuracy is calculated by dividing the total number of guesses by the total number of correct forecasts or prediction
Answer
True
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Awesome StudentQuestion • Introduction to Machine Learning
The visual inspection makes it simple to determine the value of K for a small dataset, but it becomes more difficult for a large sample
Answer
True
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Awesome StudentQuestion • Introduction to Machine Learning
With the dataset, you can use the K-Means technique to cluster these individuals according to the precise measurements of various parts
Answer
True
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Awesome StudentQuestion • Introduction to Machine Learning
A state-based matplotlib interface called matplotlibfigure offers an implicit plotting method that is similar to MATLAB Matplotlibpyplot
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Awesome StudentQuestion • Introduction to Machine Learning
In slicing by number, start:end means extracts row start through row-end but includes the end row, slicing by value includes the end row
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Awesome StudentQuestion • Introduction to Machine Learning
A hard margin means that an SVM is very rigid in classification and tries to work extremely well in the training set, causing overfitting
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Awesome StudentQuestion • Introduction to Machine Learning
A positive correlation exists when one variable increases as the other increases or when one variable decreases while the other decreases
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Awesome StudentQuestion • Introduction to Machine Learning
You can use the magic function %matplotlib inline to enable scatter plotting, where the plots/graphs will be displayed just below the cell
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Awesome StudentQuestion • Introduction to Machine Learning
A broken value, representing the likelihood of an observation belonging to a given class, can also be the result of a classification difficulty
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Awesome StudentQuestion • Introduction to Machine Learning
The outcome of a classification problem can also be a broken value, indicating the likelihood of an observation belonging to a particular class
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Awesome StudentQuestion • Introduction to Machine Learning
Various models are utilized in the ensemble learning technique in order to work together on a single dataset, and the results are then combined
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Awesome StudentQuestion • Introduction to Machine Learning
Unlabeled data lacks a label Hence the fact that we can identify patterns in it is of interest to us because there is no label in unlabeled data
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Awesome StudentQuestion • Introduction to Machine Learning
You can include a label in your pie charts, but before you can accomplish it, you must first deal with the pie() function's return values Legend
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Awesome StudentQuestion • Introduction to Machine Learning
Matplotlib makes constructing intricate charts and figures simple, and it works well as a machine learning tool when combined with Jupyter Notebook
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Awesome StudentQuestion • Introduction to Machine Learning
A polynomial regression line may not always be the optimal method for effectively capturing the relationships between the characteristics and labels
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Awesome StudentQuestion • Introduction to Machine Learning
By estimating property prices based on several features, you will discover a variation on simple linear regression known as multiple linear regression
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Awesome StudentQuestion • Introduction to Machine Learning