shivam-5 / data-mining

Data-Mining

1. Data analysis:

• Contains ways of handling missing data and thier prediction analysis
• Finding appropriate k for kmeans clustering in unsupervised learning of unclustered dataset

2. OneR classification:

• Builds a set of classification rules using oneR OneR method

3. Regression comparison:

• Compare custom implementation of regression using gradient descent with scikit learn regression
• Comparison done over predefined dataset as well as synthetic dataset

4. Implementaion of Kmeans algorithm with provision of retrieving WC and BC distance metrices