Introduction materials for Reproducible Research Curriculum

Smart Git repository cloner that organizes repos into structured directories based on URL paths. Perfect for developers who want clean, predictable project organization.

🔷 Data Cleaning and Insight Generation from Survey Data 🔷 Cleaned and preprocessed Kaggle’s Data Science Survey data, handling missing values, duplicates, and categorical responses. Applied label encoding and normalization to prepare the dataset for analysis. Built 12+ visualizations (pie, scatter, box, line, heatmap, etc.)

Code Aggregator Windows: A tool designed to aggregate code files from selected directories into a single output file, making it easier to upload and manage code for GPT and other AI models.

A Unity Editor tool that automatically creates organized folder structures for Unity projects using configurable templates.

Project Organization and Management for Metagenomics

Code Aggregator Linux: A tool designed to aggregate code files from selected directories into a single output file, making it easier to upload and manage code for GPT and other AI models.

Website desenvolvido com orientação do Matheus Battisti no curso de SASS e Scss completo. Site que tem aparência de E-commerce para exemplificação e modelo, usando SASS como principal conhecimento obtido e percorrendo os temas desse pré-processador.

Course 3: File Organization & Projects

Pacalgo2 - Algorithms and Data Structure II

Automatically store/load data in a tidy, efficient way.

Directory, Folder, and File/Document organizational structure template. It contains no actual programs or large files to be copied, but does contain documentation explaining the organizational structure and internal links to illustrate the directory's flow.

📊 Clean and analyze survey data to extract insights about data science professionals' preferences and behaviors from Kaggle's global survey.