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My Other Portfolios

If you're interested in more of my data visualization work, please visit my Tableau Public portfolio.

If you're interested in more of my data science-related personal projects, please visit my Kaggle profile.

Time-Series Decomposition
- I elaborate on how to interpret and use time-series decomposition to analyze data. It covers methods to extract trend, seasonal, and residual components, providing practical guidance on applying these techniques.
Time-Series Forecasting Versus Traditional Manufacturing
- I provide a detailed analysis on time-series forecasting techniques versus traditional manufacturing forecasting methods.
Hierarchical Forecasting in Python
- I demonstrate how to apply hierarchical forecasting methods to aggregated datasets. In my project, I explore techniques for forecasting at different levels of data aggregation, showcasing practical implementation in Python.
Long Short-Term Memory (LSTM) Forecasting in Python
- I showcase a LSTM model I used for time-series forecasting tasks in Python, leveraging deep learning for improved accuracy.
Support Vector Regression (SVR) Forecasting in Python
- In this project, I elaborate on the application of Support Vector Regression (SVR) for time-series forecasting. I emphasize SVR's capability to handle non-linear relationships in data, demonstrating its use in predictive modeling.