xavier-assignment

Task1:Q1 Iris Dataset Classification via Neural Networks

Classify the IRIS data set via Artificial Neural Networks ANN

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https://www.kaggle.com/azzion/iris-data-set-classi…

a. Compute the Confusion Matrix and Accuracy for the ANN

b. Compare the performance with a Naïve Bayes Classifier

Q2 Titanic Dataset Classification via Neural Networks

The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. 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. Classify the people were likely to survive using the following classifiers:

a. Artificial Neural Networks

b. Compare performance to Logistic Regression or Naïve Bayes

https://www.kaggle.com/jamesleslie/titanic-neural-…

Q3 Review the ANN Algorithm

And apply ann.py to churn modelling as in the dataset for churn modelling

Q4 Review the CNN Algorithm

Review the CNN algorithm cnn.py and apply to the dataset Cats vs Dogs.

Q4 CNN.zip

Q3 ANN.zip

HW12.docx

Task2:attached lab worksheet ,please complete

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