It took some time to achieve the product I was looking for, but we eventually got there. I do feel like a lot of hard work was put into this, and it even exceeded the page requirement. I'm pretty pleased overall. I give my thanks.
In this exercise, you will be allowed to share with other class members – remember to submit your own powerpoint with your name on it.
1. Analyze the Titanic Data – this is a good reference:
2) Focus on visualizing the effectiveness and method of each algorithm, Compare 5 Machine Learning Algorithms and summarize them in a powerpoint alongwith the code
Logistic Regression: The assumptions were met and the accuracy of the best model is 0.8539
Linear SVM: Scaled some features and gained an accuracy of 0.8764
Non-linear Radial SVM: Scaled some features and secured the highest accuracy of 0.8820
Random Forest: Gained an accuracy of 0.8427 and 10-fold cross validation did not improve the model accuracy
Naive Bayes: Gained an accuracy of 0.8427 which is identical to the Random Forest accuracy.
Remember to submit your response as a powerpoint
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