Training materials
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PAIR-code/understanding-umap
Data visualisation Single-cell sequencing Machine learning Statistics and probability Data visualization Data science Statistics
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EmilHvitfeldt/smltar
Machine learning R Data science
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pablo14/data-science-live-book
Machine learning Statistics and probability Data science Statistics
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shawnrhoads/gu-psyc-347
Machine learning Python Data science
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carpentries-incubator/deep-learning-intro
Machine learning Data science
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tidymodels/workshops
Machine learning R Data science
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galaxyproject/training-material
Data management FAIR data ChIP-seq Comparative genomics Epigenetics Genome annotation Genome assembly Genomics Metagenomics Microbiology Sequencing RNA-Seq Single-cell sequencing Transcriptomics Variant pattern analysis Machine learning Statistics and probability Metabolomics Proteomics Galaxy Snakemake General Reproducibility Python R Unix/Linux Version control ATAC-seq Next generation sequencing RNA-seq Variant analysis Data science Statistics Long read sequencing
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jadianes/data-science-your-way
Machine learning Python R Data science
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bradleyboehmke/data-science-learning-resources
Machine learning General Data science
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lexfridman/mit-deep-learning
Machine learning Data science