This repo Contains the codes for the ML Specialization.
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Updated
Jun 12, 2017 - Jupyter Notebook
This repo Contains the codes for the ML Specialization.
Assignment Solutions for Machine Learning Foundations: A Case Study Approach
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
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
This repo contains assignments for Coursera course (ML Foundations: A Case Study Approach
Solutions to Machine Learning Specialization by University of Washington
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.
Using turicreate to improve the results' explanation by interpreting the difference in performance among several classifiers.
Machine learning boiler plate to get you started in minutes (graphlab + sframe + jupyter + docker)
Coursera Speccialization Courses
COURSERA - Machine Learning Foundations: A Case Study Approach (by University of Washington)
Converts a PCAP file to a PANDAS or SFRAME data frame
Add a description, image, and links to the sframe-dataframe topic page so that developers can more easily learn about it.
To associate your repository with the sframe-dataframe topic, visit your repo's landing page and select "manage topics."