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pyodbc is an open source Python module that makes accessing ODBC databases simple.
AnsweredAdam asked 4 years ago • 
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Which of the following package provides the utilities to work with Oracle database?
AnsweredAdam asked 4 years ago • 
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Which of the following method is used to insert multiple rows at a time in sqlite3 datatbase?
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which-of-the-following-method-is-used-to-fetch-all-the-rows-of-a-query-result
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What does the search method of re module do?
AnsweredAdam asked 4 years ago • 
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In a match found by a defined pattern, how to group various portions of a match?
AnsweredAdam asked 4 years ago • 
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Which of the following methods of a match object mo is used to view the grouped portions of match in the form of a tuple?
AnsweredAdam asked 4 years ago • 
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Which of the following modules support regular expressions in Python?
AnsweredAdam asked 4 years ago • 
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Which of the following expression is used to compile the pattern p?
AnsweredAdam asked 4 years ago • 
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What does seek method of a file object do?
AnsweredAdam asked 4 years ago • 
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Which of the following syntax is used to name a grouped portion of a match?
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What is the output of the expression re.split(r'[aeiou]', 'abcdefghij')?
AnsweredAdam asked 4 years ago • 
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What does the match method of re module do?
AnsweredAdam asked 4 years ago • 
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What is the R function to apply hierarchical clustering to a matrix of distance objects?
AnsweredAdam asked 4 years ago • 
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What is the R Function to divide a dataset into k clusters?
AnsweredAdam asked 4 years ago • 
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Members of the same cluster are far away / distant from each other.
AnsweredAdam asked 4 years ago • 
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_____________ is when points don't move between clusters and centroids stabilize.
AnsweredAdam asked 4 years ago • 
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K Means algorithm assumes Euclidean Space/Distance.
AnsweredAdam asked 4 years ago • 
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___________ is a way of finding the k value for k means clustering.
AnsweredAdam asked 4 years ago • 
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Hierarchical Clustering is a suggested approach for Large Data Sets.
AnsweredAdam asked 4 years ago • 
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Sampling is one technique to pick the initial k points in K Means Clustering.
AnsweredAdam asked 4 years ago • 
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The number of rounds for convergence in k means clustering can be large.
AnsweredAdam asked 4 years ago • 
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A centroid is a valid point in a non-Euclidean space.
AnsweredAdam asked 4 years ago • 
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The ______ is a visual representation of how the data points are merged to form clusters.
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___________ measures the goodness of a cluster.
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___________ is the data point that is closest to the other point in the cluster.
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What is the overall complexity of the the Agglomerative Hierarchical Clustering?
AnsweredAdam asked 4 years ago • 
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_____________ of a set of points is defined using a distance measure.
AnsweredAdam asked 4 years ago • 
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Which learning is the method of finding structure in the data without labels.
AnsweredAdam asked 4 years ago • 
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Unsupervised learning focuses on understanding the data and its underlying pattern.
AnsweredAdam asked 4 years ago • 
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