Welcome to my playground! Here, you'll find the knowledge I've gathered from various courses related to machine learning, data manipulation, web scraping, and application testing. I've used a range of Python libraries, dabbled in web scraping, and played around with seasonal adjustments.
Get hands-on with economics! 🖐️ My Shiny application allows you to explore Cobb-Douglas cost and production functions interactively. You can adjust parameters like the fixed costs, scale parameter, labor price, and capital price to your heart's content! The application then generates a lovely graph 📈 of the cost function and calculates the total cost based on your inputs.
Feel free to check it out here: Cobb-Douglas-Econ
I've successfully completed the "Elements in Machine Learning" course at DataCamp. This course introduced machine learning concepts, including various types of machine learning algorithms, data preprocessing techniques, feature selection, and model evaluation.
📂 This repository also includes other exciting projects and exercises related to data manipulation, web scraping, and time series analysis.
Feel free to explore my repository and the Shiny app. Any questions or comments? Don't hesitate to reach out! 👋