DHIRAJ KUMAR

I am good at computer programming, data structure, algorithm, machine learning, blockchain and web development.
I am driven by things which are new to me and related to the research and development field.
project: Improved Correlation-based Feature Weighting Filter for Naive Bayes
brief description: In CFW the weight for a feature is proportional to the difference between the feature-class correlation(mutual relevance) and the average feature feature-feature intercorrelation (average mutual redundancy).To improve the feature weighting I used the optimization technique like ABC to minimize the mutual redundancy and maximize the mutual relevance. In this paper, I used various machine learning algorithms and datasets which is very interesting for me. Apart from this, I participated in various hackathon like Smart India hackathon in which I worked on rural development project under Ministry of Rural Development which taught me so many things like decision making, innovative idea and their implementation. Apart from this I participated in codeutasava1.0 and secured the fifth position there. I am fond of development and technology.