Q1 Iris Dataset Classification via Neural Networks
Classify the IRIS data set via Artificial Neural Networks ANN
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
Q3 Review the ANN Algorithm
And apply ann.py to churn modeling as in the dataset for churn modeling
Q4 Review the CNN Algorithm
Review the CNN algorithm cnn.py and apply it to the dataset Cats vs Dogs.