Machine Learning with Python
The goal was to perform clustering & dimensionality reductions and measure the performance. It performs following: * K-means clustering using Euclidean distance as similarity measure * K-means clustering using Cosine distance as similarity measure * Dimensionality Reduction using PCA/SVD The solution is developed using Python (Jupyter Notebook) making use of numpy, NLTK, matplotlib, wordcloud and other libraries.
About Me
I am a developer with 4 years of experience in investigating Python, Android, Java, Game Development. My belief "Quality is a habit and not a Rule" continuously encourages me to provide the best quality work to the clients. Working on following platforms: * Android * Java (Maven, JPA, JSP, Servlet, Applet, Swing, Processing, ...) * Python (Desktop based [wxPython, Kivy, Tkinter], Web based [DJango, Web2Py, mod_wsgi, mod_python], Graphics [Turtle, PIL, JES]) * PHP (Core, CodeIgniter, CakePHP) * E-Commerce and Blogging (Wordpress, Joomla, Magento, Shopify, Prestashop) * Javascript and others (Angular, Bootstrap, JQuery, Crafty)
