Welcome to my GitHub repository! This space showcases my data science projects and notes, developed as part of the Google Advanced Data Analytics coursework.
- projects: This folder houses my completed data science projects, each with its own dedicated repository. Each project repository includes:
- README.md: A detailed explanation of the project, including its objective, methodology, and key findings.
- data: The dataset used for the project.
- code: Jupyter Notebooks or Python scripts containing the analysis code.
- results: Visualizations, models, or other output files.
- notes: This folder contains my notes and insights from the course. These notes may include:
- lecture_notes: Summaries of key concepts from lectures.
- practice_exercises: Solutions to practice problems.
- personal_reflections: My thoughts and experiences throughout the course.
Through these projects and notes, I've honed my skills in:
- Data cleaning and preparation: Handling missing values, outliers, and inconsistencies.
- Exploratory data analysis (EDA): Using statistical techniques and visualizations to understand data.
- Machine learning: Building and evaluating predictive models.
- Data visualization: Creating informative and visually appealing charts.
- Problem-solving: Applying data science methodologies to address real-world challenges.
Feel free to explore my repositories and reach out if you have any questions or would like to collaborate.
Thank you for visiting!