Write a detailed description of each dataset

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Reference no: EM133719598

Project

Part A: Clustering

Find a dataset in kaggle or any other source. Make sure that each dataset is at least 500 MB.
Write a detailed description of the dataset.
Preprocess the dataset.
Using K-means algorithm to cluster the dataset.
Use the Elbow method and the Silhouette method to find the optimal K.

Part B: Regression

Find one or two datasets in kaggle or any other source. Make sure that each dataset is at least 500 MB.
Write a detailed description of each dataset.
Preprocess each dataset.
Divide each dataset into training and testing.
Build two regression models.
Test the models and compute their accuracy.

Part C: Classification

Find one or two datasets in kaggle or any other source. Make sure that each dataset is at least one 500MB.
Write a detailed description of each dataset.
Preprocess each dataset.
Divide each dataset into training and testing.
Build two classification models.
Test the models and compute their accuracy.

Reference no: EM133719598

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