"Data_Science_Projects_Jan-Feb_2023" is a repository I created to update my experience data science and machine learning.
From January to February, I did sprints to build skills and experience to keep up with the evolving state of the art in data science.
I solved some real-world tasks and pushed them to this repository.
The repository is organized into folders that represent different data analytics topics. Each folder contains projects related to that topic. The current folder structure is:
- Data-Analysis/: projects related to data cleaning, exploration, and analysis.
- Machine-Learning/: projects related to building and evaluating machine learning models.
- Natural-Language-Processing/: projects related to natural language processing and text analytics.
- Other-Topics/: projects related to data analytics that do not fit into the above categories.
This repository is licensed under the MIT License. By contributing to this repository, you agree to license your contributions under the same license.