This repo includes a collection of projects I have worked on for Udacity Machine Learning Nanodegree.

This is the list of projects

The dog breed classifier is image multiclassification problem. Given a set of images that are all labeled with a single category, we are asked to build neural network to understand the characteristics of each classes and predict these breeds for a novel set of test images and measure the accuracy of the predictions.  At the end of this project, the code will accept any user-supplied image as input. If a dog is detected in the image, it will provide an estimate of the dog's breed. If a human is detected, it will provide an estimate of the dog breed that is most resembling. Here is an example of final output.

In this project, The goal is to task with building a plagiarism detector that examines a text file and performs binary classification; labeling that file as either plagiarized or not, depending on how similar that text file is to a provided source text. Detecting plagiarism is an active area of research; the task is non-trivial and the differences between paraphrased answers and original work are often not so obvious.