Machine learning boiler plate to get you started in minutes (graphlab + sframe + jupyter + docker)

Converts a PCAP file to a PANDAS or SFRAME data frame

Using turicreate to improve the results' explanation by interpreting the difference in performance among several classifiers.

COURSERA - Machine Learning Foundations: A Case Study Approach (by University of Washington)

This repo contains assignments for Coursera course (ML Foundations: A Case Study Approach

Coursera Speccialization Courses

Assignment Solutions for Machine Learning Foundations: A Case Study Approach

This repo Contains the codes for the ML Specialization.

Creating two Song-Recommending Systems, one is popularity-based and the other with more personalization

Creating a nearest neighbor model Using Deep Features from CIFAR-10

Simple ML Mini Project that uses Regression to Predict house prices based on house features such as Living Space, Land space, Number of bedrooms, Number of Bathrooms, Zipcode, etc.

Solutions to Machine Learning Specialization by University of Washington

University of Washington MOOC | Practical case-studies from regression and classification to deep learning and recommender systems

Creating two classifiers to classify images with and without using deep features