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As a Data Scientist in OTT Sdn. Bhd., you are required to do classification using traditional Discriminant Analysis technique by taking data from public database with binary dependent variable. Adopt Python multiprocessor function in order to implement two data classification techniques, which are Linear and Quadratic Discriminant Analysis (LDA & QDA). Measure the performance gained by adopting process parallelization compared to sequential implementation (use Python time function to clock computation time). Plot confusion matrix and briefly discuss performance of LDA and QDA.

As a Data Scientist in OTT Sdn. Bhd., you are required to do classification using traditional Discriminant Analysis technique by taking data from public database with binary dependent variable. Adopt Python multiprocessor function in order to implement two data classification techniques, which are Linear and Quadratic Discriminant Analysis (LDA & QDA). Measure the performance gained by adopting process parallelization compared to sequential implementation (use Python time function to clock computation time). Plot confusion matrix and briefly discuss performance of LDA and QDA.

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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As a Data Scientist in OTT Sdn. Bhd., you are required to do classification using traditional Discriminant Analysis technique by taking data from public database with binary dependent variable. Adopt Python multiprocessor function in order to implement two data classification techniques, which are Linear and Quadratic Discriminant Analysis (LDA & QDA). Measure the performance gained by adopting process parallelization compared to sequential implementation (use Python time function to clock computation time). Plot confusion matrix and briefly discuss performance of LDA and QDA.

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