Name: Kanad Basu, Ph.D.
Type: User
Company: SnackNation
Bio: Mathematician and statistician turned data scientist with strong research track record and hands-on machine learning experiences.
Location: Culver City, California, USA
Blog: https://www.linkedin.com/in/kbasu2016/
Kanad Basu, Ph.D.'s Projects
This is a binary classification problem related with Autistic Spectrum Disorder (ASD) screening in Adult individual. Given some attributes of a person, my model can predict whether the person would have a possibility to get ASD using different Supervised Learning Techniques and Multi-Layer Perceptron.
The Leek group guide to data sharing
Repo for the Deep Learning Nanodegree Foundations program.
I applied Convolutional Neural Network (CNN) to classify a dog’s breed given an user-supplied images. With the image of the dog, my algorithm will identify an estimate of the canine’s breed. Instead of training my network from scratch, I wisely used VGG-16 and ResNet-50 models for transfer learning and achieved a great deal of accuracy and robustness. I used Keras to build my CNN architecture.
Content for Udacity's Machine Learning curriculum
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
This repository showcases some interesting projects that I have worked on using Natural Language Processing & Recommender system.
This repository contains some of my experimental Machine Learning projects using data sets from different real-life data sets applying Multi Layer Perceptron, Recurrent Neural Network and different Supervised Machine Learning techniques and achieved very promising results.
The content of this repository explains a problem that will help Occidental College(Oxy) to predict the students who will accept their admission offers. Doing so Oxy can save a lot of money in saving unfilled seats each academic year.
Python Data Science Handbook: full text in Jupyter Notebooks
scikit-learn: machine learning in Python
This repository showcases projects that I have done as a partial fulfillment for Udacity's Machine-Learning Nano Degree program. The projects involve Supervised Machine Learning, Unsupervised Machine Learning , Reinforcement Learning as tools to solve the data driven problems coming from different real life situations.