Machine learning project for Classification, Regression and Clustering

This dataset contains information about used cars. This data can be used for a lot of purposes such as price prediction to exemplify the use of linear regression in Machine Learning.

The training set (train.csv) should be used to build your machine learning models. For the training set, it provides the outcome (also known as the “ground truth”) for each passenger. Your model will be based on “features” like passengers’ gender and class. The test set should be used to see how well your model performs on unseen data. For the test set, we do not provide the ground truth for each passenger. It is your job to predict these outcomes. For each passenger in the test set, use the model you trained to predict whether or not they survived the sinking of the Titanic.

Clustering or cluster analysis is a machine learning technique, which groups the unlabeled dataset. It can be defined as "Away of grouping the data points into different clusters, consisting of similar data points.

The objects with the possible similarities remain in a group that has less or no similarities with another group.