This is a project which implements classification on the wisconsin breast cancer dataset, regression on the diamonds dataset and clustering on the iris dataset. In classification: KNN, Decision Tree, Naive Bayes, Neural Network, Random Forest are the algorithms used. In regression: KNN regression, Decision Tree, Linear Regression, Polynomial Regression, Neural Network and Random Forest are the algorithms used. In clustering, K-Means is the algorithm used. The data is preprocessed prior to being used in any of the above algorithms.
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This is a project which implements classification on the Wisconsin breast cancer data set, regression on the diamonds data set and clustering on the iris data set. In classification: KNN, Decision Tree, Naive Bayes, Neural Network, Random Forest are the algorithms used. In regression: KNN regression, Decision Tree, Linear Regression, Polynomial …
AhmadMamduhh/Data-Mining-Project
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This is a project which implements classification on the Wisconsin breast cancer data set, regression on the diamonds data set and clustering on the iris data set. In classification: KNN, Decision Tree, Naive Bayes, Neural Network, Random Forest are the algorithms used. In regression: KNN regression, Decision Tree, Linear Regression, Polynomial …
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