shivank1006/dimensionality_reduction_and_state_vector_machines-data_science

Data Science Assignment

Dimensionality Reduction and State Vector Machines

Data Science Course Assignment - Indian Institute of Technology Ropar

Abstract

This assignment summarizes the results of dimensionality reduction and visualization performed on various datasets. It also includes the variation of results by tuning the parameters while using the SVMs for the classification on Iris Dataset. The datasets used in this assignment are Labelled Faces in the Wild and Fisher Iris dataset. The main techniques used in this assignment include Principal Component Analysis, tSNE and LDA. It also includes the results of SVM classification with varying parameters

All the results, figures and tables are given in the Assignment Report.

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

License

MIT