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Answer & Explanation:IRIS dataset,Q4: Titanic DatasetClassify the people were likely to surviveUsing the following classifiers:Logistic Regression or Naïve BayesArtifical Neural Networks
its_836_week14_hw_hadoop_mr_neural_networks_1_.pptx

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School of Computer &
Information Sciences
ITS 836 Data Science and Big Data Analytics
ITS 836
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Q3 IRIS dataset
a. Classify the IRIS data set via Artificial Neural
Networks in R
–
https://rpubs.com/vitorhs/iris
b. Compute the Confusion Matrix and Accuracy
c. Compare the performance with a
–
Naïve Bayes Classifier
ITS 836
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Q4: Titanic Dataset
https://www.kaggle.com/c/titanic/overview
•
The sinking of the RMS Titanic is one
of the most infamous shipwrecks in
history.
Classify the people were likely to survive
Using the following classifiers:
– On April 15, 1912, during her maiden
voyage, the Titanic sank after colliding
with an iceberg, killing 1502 out of
2224 passengers and crew.
– This sensational tragedy shocked the
international community and led to
better safety regulations for ships.
– One of the reasons that the shipwreck
led to such loss of life was that there
were not enough lifeboats for the
passengers and crew.
– Although there was some element of
luck involved in surviving the sinking,
some groups of people were more
likely to survive than others, such as
women, children, and the upper-class.
a. Logistic Regression or Naïve Bayes
b. Artifical Neural Networks
ITS 836
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Q5 – Tensor Flow Crash Course
• Take the crash course lectures on neural networks
– https://developers.google.com/machine-learning/crashcourse/
– https://developers.google.com/machine-learning/crashcourse/introduction-to-neural-networks/video-lecture
ITS 836
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Questions?
ITS 836
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