This repository serves as a showcase of various data science projects, exploratory and statistical data analysis, data visualizations, machine learning model development, optimization, and evaluation.
In this repository, you'll find a collection of Jupyter notebooks, some containing SQL and Python code for a range of data science projects. These projects cover a wide array of topics and techniques within the field of data science.
The repository is organized as follows:
DataSciencePlayground
|--- Project Name 1
| |--- assets # Additional files used in Project Name 1
| |--- datasets # Dataset(s) used in Project Name 1
| |--- notebook # Jupyter notebook for Project Name 1
| |--- presentation # Jupyter presentation for Project Name 1
| `--- README.md # Detailed README for Project Name 1
|--- Project Name 2
| |--- assets # Additional files used in Project Name 2
| |--- datasets # Dataset(s) used in Project Name 2
| |--- notebook # Jupyter notebook for Project Name 2
| |--- presentation # Jupyter presentation for Project Name 2
| `--- README.md # Detailed README for Project Name 2
|--- ...
`--- README.md # Main repository README (this file)
📝 The contents of the individual subdirectories vary depending on the projects' requirements.
To interact with the individual projects:
- Navigate to the project folder of interest.
- Open the Jupyter notebook associated with the project.
- Follow the instructions within the notebook to reproduce the analysis or run the code.