University of Washington

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

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

Collaborative filtering project

Recommendation System for points of interests

MIT xPRO Data Science Course Movie Recommendations Case Study

Machine Learning - University of Washington

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

Deep Learning Projects written in Python with TensorFlow and Keras

Machine Learning applications done using Ipython Notebooks

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

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

Ridge Regression for House details dataset with Turicreate (GraphLab)

Jupyter Notebook for Deep Features Classification

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

tour product recommendation system with k-nn model

Distributed Graphs Processing with Apache Spark

Solutions to Machine Learning Specialization by University of Washington

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