JNTU kNN and Naive Bayes Data Analytics Lab Report – Description
Data Analytics 2
Lab 2 kNN and Naive Bayes
This assignment will be using data from the passenger list of the HSMS Titanic. This file Titanic Passengers.xlsx Download Titanic Passengers.xlsxcontains data for 1,309 of the real Titanic passengers and will be used to develop classification models using The assignment description and questions are in this file Lab 2.docxDownload Lab 2.docx
Topic(s):
the k-NN algorithm and
the Naive Bayes Classifier to predict is a passenger survived.
Data file(s):
Titanic Passengers.xlsxDownload Titanic Passengers.xlsx Please complete your work directly in the original lab word file and save it as YourFirstNameLastNameLab#.
All graphs should have your first and last name in the footer when possible,
otherwise your screen shot should include the top of the window which shows your file name that includes your first and last name.
This assignment will be assessed for plagiarism.
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Discussion Assignment Part I Submission
Instructions:
There are three discussions where you pick a topic and a case that can be applied and justify your reasoning, then you review other submissions
These are reflective and are designed for you to share your thoughts and experiences related to the topic presented. To earn full points on discussion boards, students must
be actively engaged in the group discussion and
provide input to each of the assigned questions.
It is expected that your responses be
thoughtful,
respectful,
grammatically correct, and
reveal your understanding of the topic being discussed.
It is required that you post your reflection by Sunday of the assigned week and
that you provide a substantive response to one or two of your classmate’s reflections by the end of Sunday of the following week.
Unless previously approved by the instructor, no late submission is allowed and any discussion or review submitted after the due date will receive a zero.
1. Brief Summary of the Topic(20 pts):
2. Brief Description of the Case(10 pts):
3. Justify your reasoning(20 pts):
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