Here, you'll find a treasure trove of marimo notebook examples/tutorials that span a wide range of domains, including:
Whether you're a beginner looking to get started or an experienced practitioner seeking advanced insights, this collection is your go-to reference for Marimo implementations.
Srihari ThyagarajanST
This exploratory data analysis provided valuable insights into the Goodreads dataset. We identified user rating patterns, book characteristics, and potential relationships between features. This knowledge can be leveraged to build a recommendation system that considers user preferences, book popularity, and potential trends in ratings and genres.
Srihari ThyagarajanST
Offers an interactive visualization of various activation functions used in machine learning, allowing users to explore their characteristics by adjusting parameters and comparing mathematical formulas. It covers key functions like Sigmoid, Tanh, ReLU, ELU, PReLU, Leaky ReLU, SELU, Softplus, Softsign, Hard Sigmoid, Swish, and Mish, serving as an educational tool for understanding the nuances of these core neural network building blocks.