The list showcases sample projects related to data analysis, machine learning, deep learning, and software engineering created by Vilmantas Gėgžna.

1. Age and Gender Prediction from Images (deep learning project 🧩)

   • Main tools: Python | Repository | HTML report
   • Highlights: computer vision, multi-task learning (classification + regression), custom loss function

2. Classification of Toxic Comments (deep learning project 🧩)

   • Main tools: Python | Repository | HTML report
   • Highlights: natural language processing (NLP), multi-label classification, transfer learning, Hugging face

3. Mushrooms Classification: Common Genus's Images (deep learning project 🧩)

   • Main tools: Python | Repository | HTML report
   • Highlights: computer vision, multi-class classification, transfer learning

4. Lending Club Loan Data Analysis (machine learning project 💡)

   • Main tools: Python | Repository | HTML report | Flask app
   • Highlights: classification and regression, model selection and deployment on Google Cloud Platform (GCP)

5. Home Credit Default Risk Prediction (machine learning project 💡)

   • Main tools: Python | Repository | HTML report | Flask app
   • Highlights: classification, model selection, explainability and deployment on GCP

6. Stroke Risk Prediction (machine learning project 💡)

   • Main tools: Python | Repository | HTML report | Flask app
   • Highlights: classification, hyperparameter tuning, model selection, and deployment on Render.com

7. Travel Insurance Claim Prediction (machine learning project 💡)

   • Main tools: Python | Repository | HTML report
   • Highlights: classification, hyperparameter tuning, model selection

8. The Insights on European Football (data analysis project 📈)

   • Main tools: Python, SQL | Repository | HTML report
   • Highlights: exploratory data analysis (EDA), inferential statistics, and predictive modeling

9. Red Wine Quality Prediction (data analysis project 📈)

   • Main tools: R, Python | Repository | HTML report
   • Highlights: linear and logistic regression, exploratory PCA (principal component analysis)

10. The Analysis of Apple Podcasts Reviews (data analysis project 📈)

    • Main tools: Python, R | Repository | HTML report
    • Highlights: inferential statistics

11. Mental Health in Tech Industry (data analysis project 📈)

    • Main tools: Python, SQL | Repository | HTML report
    • Highlights: categorical data analysis

1. Simple Calculator in Python (Python package: example 🛠️) :

   • Python, CI/CD on GitHub Actions, Unit testing, Docker | Repository

2. addins.rmd: A Set of RStudio Add-ins (R package 🛠️):

   • R, CI/CD on GitHub Actions | Repository

3. RcmdrPlugin.biostat: Plug-in for R Commander (R package 🛠️):

   • R, GUI programming (via R's Tcl/Tk interface) | Repository