The site provide projects on data analysis, applied statistics and data science by Aleksandr Y. Suvorov, ORCID.

Contents

• About me
• Code samples and scripts
• Network analysis and graphs
• Basics of meta-analysis
• Design of experiments, Clinical Trials and Biostatistics
• Misc
• Sechenov University

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About me

• CV and skills

Publications, patents and conference presentations

• ORCID list
• Full list (unsorted)

Code samples and scripts

Demo projects

• Machine learning basics

  • Basic feature selection and hyperparameter tuning (optuna) with Lasso classifier
  • Basic PyTorch classifier with loss curves estimation
  • Hyperparameter tuning (optuna) for PyTorch classifier

• Network analysis and machine /deep learning

  • Graph classification with CNN (matrix approach)

Python / R scripts and functions

• Functions and scripts

Network analysis and graphs

• Network methods for biological systems

Basics of meta-analysis

• Basics of meta-analysis

Design of experiments, Clinical Trials and Biostatistics

• Hypothesis testing concepts
• Basic principles of descriptive statistics in medical research

Misc

• Understanding ROC - analysis
• Library and useful links

Sechenov University

• Form aggregator