Collection of materials
  • Home
  • R basics
    • Basic R course (Sandpaper)
    • First R Markdown report (HTML)
    • Introduction to R — browser exercises
    • Mini-project questions (HTML)
    • Tidy Data (HTML)
  • Python basics
    • Chapter 2: Lists, Dictionaries and Sets
    • Chapter 3: Loops and conditions
    • Chapter 4: Functions, Numpy and Biopython
    • Day 3 — Basic Python
    • Day 5 — Basic Python
    • DNA Translation and Pairwise Identity Workflow
    • Intro to Pandas and Matplotlib
    • Intro to Pandas and Matplotlib (PPTX)
    • Python Basics Cheatsheet (PPTX)
    • Querying GFF
    • Simple Data Types / Прості типи даних
  • Advanced
    • 1 Neural Networks
    • 1 Perceptron From Scratch
    • 2 Mlp Xor Problem Solutions
    • 3 Convolutional Neural Networks
    • Digital image classifier
    • Transformers with PyTorch
  • Lectures
    • BashLand Course (PDF)
    • Introduction to Modern Biological Data — Helena Crowell (PDF)
    • Machine Learning (PDF)
    • Neural Networks (PDF)
    • Tidy Data (HTML)
  • Research highlights
    • 260713 Bds3 Julia Ruehle Transcription Factors (PPTX)
    • 260714 Bds3 Helena Crowell Spatial (PDF)
    • Perturbation Assays (PDF)
    • Usbrg (PDF)
  • Post-school materials
    • Recommended post-school resources
Bio Data Science University of Zurich

Mini-project questions

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