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autism-detection-in-adults

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.

code_snippets

datasharing

The Leek group guide to data sharing

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

dog-project-cnn

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.

github-tutorial

machine-learning

Content for Udacity's Machine Learning curriculum

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

ml_projects

This repository showcases some interesting projects that I have worked on using Natural Language Processing & Recommender system.

my-machine-learning-projects

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.

new_repo

occidental-college-acceptance-problem

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.

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

scikit-learn

scikit-learn: machine learning in Python

udacity-mlnd

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.