In this brief project, i conduct an extented analysis on breast cancer data (data provided by https://www.kaggle.com/uciml/breast-cancer-wisconsin-data). I analyze the correlation between the features to extract the most valuable. I train 10 models with the initial features and then train the same models with the extracted features to show the effectivesness of the feature extraction methods used.
In this brief project, i conduct an extented analysis on breast cancer data. (data provided by https://www.kaggle.com/uciml/breast-cancer-wisconsin-data). I analyze the correlation between the features to extract the most valuable out of them. I train 10 machine learning models (using scikit-learn) with the initial features and then train the same models with the extracted features to show the effectivesness of the feature selection methods used.
In this brief project, i conduct an extented analysis on breast cancer data (data provided by https://www.kaggle.com/uciml/breast-cancer-wisconsin-data). I analyze the correlation between the features to extract the most valuable. I train 10 models with the initial features and then train the same models with the extracted features to show the effectivesness of the feature extraction methods used.