Assignment Solutions for Machine Learning Foundations: A Case Study Approach
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Updated
Aug 6, 2020 - Jupyter Notebook
Assignment Solutions for Machine Learning Foundations: A Case Study Approach
This repo Contains the codes for the ML Specialization.
Creating a nearest neighbor model Using Deep Features from CIFAR-10
Creating two Song-Recommending Systems, one is popularity-based and the other with more personalization
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
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.
This repo contains assignments for Coursera course (ML Foundations: A Case Study Approach
Coursera Speccialization Courses
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)
Converts a PCAP file to a PANDAS or SFRAME data frame
Machine learning boiler plate to get you started in minutes (graphlab + sframe + jupyter + docker)
Add a description, image, and links to the sframe-dataframe topic page so that developers can more easily learn about it.
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