Coursera Speccialization Courses
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Updated
Aug 28, 2020 - Jupyter Notebook
Coursera Speccialization Courses
Assignment Solutions for Machine Learning Foundations: A Case Study Approach
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
Creating a nearest neighbor model Using Deep Features from CIFAR-10
Creating two classifiers to classify images with and without using deep features
Creating two Song-Recommending Systems, one is popularity-based and the other with more personalization
Using turicreate to improve the results' explanation by interpreting the difference in performance among several classifiers.
Solutions to Machine Learning Specialization by University of Washington
Converts a PCAP file to a PANDAS or SFRAME data frame
COURSERA - Machine Learning Foundations: A Case Study Approach (by University of Washington)
University of Washington MOOC | Practical case-studies from regression and classification to deep learning and recommender systems
Machine learning boiler plate to get you started in minutes (graphlab + sframe + jupyter + docker)
This repo Contains the codes for the ML Specialization.
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