Please provide steps to answer this question: Your task is simple: use machine learning to create a model that predicts which passengers survived the Titanic shipwreck. Implement and train a classification model for the Titanic dataset (the dataset can be found here: https://www.kaggle.com/c/titanic). Please ignore the test set (i.e., test.csv) and consider the given train set (i.e., train.csv) as the dataset. What you need to do: 1. Data cleansing 2. Split the dataset (i.e., train.csv) into a training set (80% samples) and a testing set (20% samples) 3. Train your model (see details below) 4. Report the overall classification accuracies on the training and testing sets 5. Report the precision, recall, and F-measure scores on the testing set

Your task is simple: use machine learning to create a model that predicts which passengers survived the Titanic shipwreck. Implement and train a classification model for the Titanic dataset (the dataset can be found here: https://www.kaggle.com/c/titanic). Please ignore the test set (i.e., test.csv) and consider the given train set (i.e., train.csv) as the dataset. What you need to do: 1. Data cleansing 2. Split the dataset (i.e., train.csv) into a training set (80% samples) and a testing set (20% samples) 3. Train your model (see details below) 4. Report the overall classification accuracies on the training and testing sets 5. Report the precision, recall, and F-measure scores on the testing set 1. Required Model (100 pts): Implement and train a logistic regression as your classification model. • You have to use Sklearn deep learning library. • You may want to refer to this tutorial: https://bit.ly/37anOxi

Four different machine learning algorithms are shown in this section, which may be used for supervised learning on a given dataset. Give a description of any four variables you may use to help you choose which one to utilize to determine whether or not a tumor is malignant.

k Means Clustering In the context of healthcare research or business, provide two scenarios where you'd use an un-supervised machine learning model and two more scenarios where you'd use a supervised machine learning mode. You can use real scenarios or make something that seems plausible. |

Four different machine learning algorithms are shown in this section, which may be used for supervised learning on a given dataset. Give a description of any four variables you may use to help you choose which one to utilize to determine whether or not a tumor is malignant.

Add the missing pieces from checkpoint B while using this code

Instead of building the thing by connecting together a sequence of lines, the creator of a solid model may instead shape it by molding and sculpting the data. Explain?

Four different machine learning algorithms are shown in this section, which may be used for supervised learning on a given dataset. Give a description of any four variables you may use to help you choose which one to utilize to determine whether or not a tumor is malignant.