<div dir="ltr"><div>Hello,</div><div><br></div><div>My name is Rebeka Mukherjee. I am a CS undergraduate at Netaji Subhash Engineering College, India. I am very eager to work with mlpack, possibly through GSoC.</div><div><br></div><div>I am interested to work on Decision Trees. I have been studying and working on classification and clustering algorithms for a while now. Currently I am on a project that is about building Hadoop MapReduce tools for K-Means algorithm with Expectation Mazimization, Fuzzy C-means and Genetic Algorithm.</div><div><br></div><div>To get started, I have already built the mlpack library and compiled the tutorial programs so I have a fair bit of idea about it now. I have also been through the code of decision stumps code that was added to mlpack. Instead of building on it to implement a full blown tree, I would prefer to write a new class on one the efficient decision tree algorithms.</div><div><br></div><div>I have been through a few literature online that is available for implementation and modification of ID3 and Random Forests. I have also gone through the paper on Density Estimation Tree in the mlpack website. Please let me know if there is any literature you would want me to refer to me.</div><div><br></div><div>I would be happy to hear from you.</div><div><br></div><div>Regards,</div><div>Rebeka Mukherjee</div></div>