Lab Assignments for Scalable Machine Learning and Deep Learning course at KTH
-
Updated
Jan 10, 2018 - Jupyter Notebook
Lab Assignments for Scalable Machine Learning and Deep Learning course at KTH
A cloud-based tool for sentiment analysis in reviews about restaurants on TripAdvisor
Projects completed for the Data Scientist Nanodegree with Udacity.
Use Apache Spark for large-scale data processing to predict customer churn
Demo codes for ML with large scale of datasets (10-605)
Building Real-Time Inference Pipelines with Ray Serve
Serverless Machine Learning for Titanic Dataset
A Python library for efficient feature ranking and selection on sparse data sets.
Scalable/Distributed Computer Vision with Ray
RaKUn 2.0 - A fast keyword detection algorithm
Add a description, image, and links to the scalable-machine-learning topic page so that developers can more easily learn about it.
To associate your repository with the scalable-machine-learning topic, visit your repo's landing page and select "manage topics."