Welcome to my Kaggle Projects repository! This repository serves as a collection of data science and machine learning projects that I have completed on Kaggle. Each project demonstrates my skills in data analysis, feature engineering, model building, and evaluation, utilizing various datasets available on the Kaggle platform.
In this repository, you will find:
- Project Notebooks: Jupyter notebooks containing detailed analyses, visualizations, and model implementations.
- Datasets: Links to the datasets used in each project, along with any relevant preprocessing steps.
- Results: Insights and conclusions drawn from the analyses, including model performance metrics and visualizations.
- Documentation: A brief overview of each project, including objectives, methodologies, and key findings.
The projects utilize a variety of technologies and libraries, including but not limited to:
- Python
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Scikit-learn
- TensorFlow / Keras (for deep learning projects)