Data workflows for the numer.ai machine learning competition
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Updated
Apr 25, 2019 - Python
Data workflows for the numer.ai machine learning competition
Building Classification & Prediction model to classify the Loan applicant request as approved or rejected and then predict the Interest rate for Loan Approval.
luigi based workflow for analysising WGS samples collecting from different source. It will auto clustering, annotating gene or species, and finally perform pangenome analysis(roary).
luigi workflows to evaluate models trained by vowpal wabbit
Allow Luigi tasks to fail softly, without cancelling downstream tasks.
Extension of luigi.Task more suitable for reproducable data analysis workflows
Pipeline for calling and analyzing variants from RNA-Seq data
CRISPR sgRNA design for the Genetic Perturbation Platform at the Broad Institute
Resources for AWS Almaty Meetup: Building scalable Data Lake with AWS
Easy and powerful template for ML projects
This is a learning repository about DVC Data Version Control and Luigi Pipelines
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