shohagranasuvo/research-methodology-projects

Research methodology notebooks, datasets, and experiments for reproducible academic work.

Jupyter Notebook

0

5 commits

updated Sep 14, 2026

See the code

README

Research Methodology

Research notebooks, datasets, and experiments created for research-methodology coursework. The repository includes work involving Bangla/Banglish text processing, dataset preparation, and exploratory analysis.

Contents

  • code/ — supporting scripts
  • dataset/ — research data and prepared datasets
  • results/ — generated outputs and experiment results
  • Jupyter notebooks — exploratory and experimental workflows
  • LICENSE — repository licensing information

Status

Academic research and experimentation repository. Results depend on the dataset and notebook version used.

Reproducibility

Open the relevant notebook, review its first cells for inputs and dependencies, and run it from the repository root. Keep original datasets unchanged when reproducing an experiment and write generated outputs to results/.

Data note

Some datasets may contain sensitive or third-party material. Use them only for their permitted academic purpose and review each source's terms before redistribution.

academic-project
datasets
jupyter-notebook
research

shohagranasuvo/research-methodology-projects

Research methodology notebooks, datasets, and experiments for reproducible academic work.

Jupyter Notebook

0

5 commits

updated Sep 14, 2026

See the code

README

Research Methodology

Research notebooks, datasets, and experiments created for research-methodology coursework. The repository includes work involving Bangla/Banglish text processing, dataset preparation, and exploratory analysis.

Contents

  • code/ — supporting scripts
  • dataset/ — research data and prepared datasets
  • results/ — generated outputs and experiment results
  • Jupyter notebooks — exploratory and experimental workflows
  • LICENSE — repository licensing information

Status

Academic research and experimentation repository. Results depend on the dataset and notebook version used.

Reproducibility

Open the relevant notebook, review its first cells for inputs and dependencies, and run it from the repository root. Keep original datasets unchanged when reproducing an experiment and write generated outputs to results/.

Data note

Some datasets may contain sensitive or third-party material. Use them only for their permitted academic purpose and review each source's terms before redistribution.

academic-project
datasets
jupyter-notebook
research