tuanavu/coursera-university-of-washington

University of Washington

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sud218/ml-graphlab-boilerplate

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

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yinfirefire/Machine-Learning-Specialization

My Assignments of Coursera Machine Learning Specialization using Scikit-Learn, Pandas, Numpy and Scipy

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santteegt/ucl-irdm-collaborative-filtering

Collaborative filtering project

Language: Python - Size: 160 MB - Last synced at: about 1 month ago - Pushed at: about 9 years ago - Stars: 7 - Forks: 5

mmsdivino/Tourisys

Recommendation System for points of interests

Language: Python - Size: 44.9 KB - Last synced at: about 2 months ago - Pushed at: almost 6 years ago - Stars: 3 - Forks: 2

ozguramac/MITDataScience-CaseStudy4.1

MIT xPRO Data Science Course Movie Recommendations Case Study

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TangYifei/Machine-Learning

Machine Learning - University of Washington

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Prashant47/ML-Foundations

This repository contains all notes and assignments of coursera Machine Learning Specialization created by University of Washington

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leanerr/-Ridge-Regression-interpretation-

Ridge Regression for House details dataset with Turicreate (GraphLab)

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neshkeev/spark-graphs-demo

Distributed Graphs Processing with Apache Spark

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hskang9/Introduction_to_DS_final

tour product recommendation system with k-nn model

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albertovpd/machine_learning_specialization_washington_university

Taking the course with numpy, pandas and scikit-learn instead of TuriCreate and Graphlab. Totally recommendable.

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ndrberna/Machine-Learning-Notebook

Jupyter Notebook for Deep Features Classification

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YeWang0/Sentiment_Analysis

A novel hotel review sentiment analysis method with a high F1 score (0.97) based on logistic classification

Language: Jupyter Notebook - Size: 878 KB - Last synced at: about 2 years ago - Pushed at: about 8 years ago - Stars: 1 - Forks: 0

shubhsharma10/Recommendation-Engine

Recommendation system for Movie ratings dataset using Collaborative Filtering with different models

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Nickil21/ML_Foundations-UW-Assignments

Machine Learning applications done using Ipython Notebooks

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srinivasgln/Coursera-Machine-Learning-Specialization-U.Washington

Solutions to Machine Learning Specialization by University of Washington

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goncaloperes/MachineLearning

Some projects and information related with my experience with machine learning.

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imoisharma/GraphLab

Language: Jupyter Notebook - Size: 3.24 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

wiguider/ArganRecogn

Face Recognition Using a Deep Convolutional Neural Network and GraphLab

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kakshay21/ML-DocumentRetrieval

Clustering wikipedia dataset based with K-NN by TF-IDF

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iivek/dag-nmf-distributed

Distributed implementation of dag-nmf in Graphlab (CMU version).

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sud218/machine-learning-specialization

Machine Learning Specialization work from UW on Coursera

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ndrberna/ImageRecognition

Demonstrator of usage of ML to recognize images

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agrojas/mequieroir

Sistema de recomendaciones de busquedas laborales

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