Cse 6040x - Study guides, Class notes & Summaries

CSE 6040X SP24 Midterm 1 Solutions Courseware edX CSE 6040X SP24 Midterm 1 Solutions Courseware edX

CSE 6040X Solution_ Notebook 2 _ Module 0 _ FA23_ Computing for Data Analysis Georgia Institute Of Technology Association rule mining In this notebook, you'll implement the basic pairwise association rule mining algorithm. To keep the implementation simple, you will apply your implementation to a simplified dataset, namely, letters ("items") in words ("receipts" or "baskets"). Having finished that code, you will then apply that code to some grocery store market basket data. If you...

CSE 6040X Solution_ Notebook 1 _ Module 0_ Fundamentals (bootcamps) _ FA23_ Computing for Data analysis Georgia Institute Of Technology Important note! Before you turn in thislab notebook, make sure everything runs as expected: First, restartthe kernel -- in themenubar,select Kernel Restart. Then run all cells-- in the menubar,select Cell Run All. Make sure you fill in any place thatsays YOUR CODEHEREor "YOUR ANSWER HERE." Python review: Values, variables, types, lists, and strings T...

CSE 6040X Quiz– Store Data in Azure (Georgia Institute Of Technology) questions and answers

CSE6040x Sample solutions _ Solution_ Notebook 4 _ Courseware Georgia Institute Of Technology questions and answers Sample solutions Part 0: Representing numbers asstrings The following exercises are designed to reinforce your understanding of how we can view the encoding of a number asstring of digitsin a given base. Integers asstrings Consider the string of digits: '' If you are told this string isfor a decimal number, meaning the base of its digitsisten (10), then its value is gi...

CSE6040x Sample solutions _ Solution_ Notebook 1 _ Courseware Georgia Institute Of Technolog

Compressed Sparse Row Format This format tries to compress the sparse matrix further compared to COO format. Suppose you have the following coordinate representation of a sparse matrix where you sort by row index: rows = [0, 0, 0, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6] cols = [1, 2, 4, 0, 2, 3, 0, 1, 3, 4, 1, 2, 5, 6, 0, 2, 5, 3, 4, 6, 3, 5] values = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] If there are nnz nonzeroe...

More Python Exercises - Sample solutions _ Supplemental Notebooks_ More Pyth

Fast searching in ordered collections. This problem consists of just a single exercise, worth ten (10) points. It is about an elementary principle of computer science algorithm design, which is that one can often do things faster if one exploits structure in the input data. Suppose you are given a list of already sorted numbers. In [ ]: Suppose you now want to know whether a certain value exists in this list. A simple way to do that in Python is as follows. In [ ]: This method works fine a...