This repository is a collection of Data Science projects using Python language. Each directory contains specific components of the project that explores various data science techniques from data preparation to modeling.
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dataset_preparation: This section includes the process and methodology employed for data cleaning and preparation, setting the stage for detailed analysis.
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data_modelling: Here, you'll find the analysis conducted on employee turnover using data modeling techniques to uncover patterns and insights.
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KNN_and_DecisionTree: This directory contains the project that applies K-Nearest Neighbors and Decision Tree classifiers for spam detection.
To get started with these projects:
- Clone this repository to your local machine using
git clone. - Navigate into each project directory to explore the datasets, Jupyter notebooks, and Python scripts.
I welcome contributions and feedback on these projects. Please feel free to fork the repository, submit pull requests, or send me suggestions to improve the analysis.
If you have any questions about the projects, please open an issue or contact me directly.
Thank you for exploring my data science projects!