Leverage score based Tensor Completion algorithm, SPLATT
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Updated
Jul 16, 2019 - C
Leverage score based Tensor Completion algorithm, SPLATT
Detect 5 rapid eye blinks to trigger an alarm and assist people with ALS in requesting help.
This project looked at scalable machine learning for a movie recomemdantion set utilising ALS (alternative least squares) A NASA data set was used as a familiarisation to pySpark. The data was plotted using matplotlib.
This is a movie recommendation project based on Movielen 25M dataset using pyspark, SQL, Matrix Factorization algorithm, etc to do data analysis
🐝 Materials and homework assignments for HSE recommender systems course
MicroPython module for wotk with VEML7700. Ambient light sensor form Vishay.
EPFL Recommender System Challenge 2019. Machine Learning Course CS-433, EPFL.
Creating our own Spotify Playlist Recommendation models using ML models in Python: https://cs109group33.wixsite.com/spotify
SparkMLib ALS(Writed by Scala&Java) used in commodity recommendation system
Using concepts of Big data Analytics a system is created to find restaurants based on reviews of food, location.
Sample test example for spark mllib for recommendation system
Validating the first human iPSC-derived Cortical Neuron ALS model via systematic Epigenomic analysis.
Movies suggestions using ALS (inspired Netflix Challenge)
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