代写Instruction for Class Activity 2代做Python语言
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Due date:Oct 14 Monday 2:00 PM
Titanic - Machine Learning from Disaster.
Start here and predict survival on the Titanic and get familiar with ML basics.
Requirements:
Build the following models:
● kernel
● SVM
● LR
● KNN
● DT
● RF
● Naive Bayes
● Preprocessing: anything you think is necessary. You can refer to the codes in the blog for data preprocessing, for example: advanced data-preprocessing
● Find the best parameters using Grid Search (skip if no tunable parameters), train the model with train set, and predict the test set.
- From gender_submission.csv, find true or actual label for each passenger
● Evaluation metric: classification report and confusion matrix of training and testing results for each model.
● One PDF page summary report: Prepare a summary of your results.
● Please submit both IPYNB (.ipynb) and PDF files (.pdf)