This repository serves as a collection of my Google Colab notebooks, covering various topics in data analysis, machine learning, and classification tasks. Each project is organized into folders for clarity and ease of navigation.
- Description: An analysis of sales trends during the COVID-19 pandemic, exploring the impact on different regions and product categories.
- Description: Insights into e-banking trends and user behaviors.
- Source: Developed as part of a webinar on data analysis hosted by West Visayas State University.
- Description: A machine learning project predicting the approval status of credit card applications based on applicant data.
- Description: A classification project focusing on differentiating wine varieties using chemical and physical attributes.
- Description: An exploratory analysis and predictive modeling project involving bike rental data.
I am grateful for the following learning opportunities that helped shape these projects:
- MSTconnect PH: An 8-hour training session, which provided the foundation for most of these notebooks, particularly the techniques used in data preprocessing and analysis.
- West Visayas State University Webinar: Insights gained from their session on data analysis greatly contributed to the development of the E-Banking project.