Lectures related to Viral vector

Explores viral infection dynamics, including acute, latent, and persistent infections with examples like Rhinovirus and Herpes Simplex.

Covers handling missing data, feature engineering, and output transformations in machine learning.

Explores the laws of dynamics, stress, energy conservation, and deformation in continuum mechanics.

Covers techniques for handling missing data and standardizing features, as well as transforming input and output data.

Explores the Mercer Theorem, Kernels, and their role in machine learning applications.

Explores cat allergies, catnip effects, and cat urine smell.

Explores the mechanism, benefits, and challenges of RNA vaccines, with a focus on their role in triggering immune responses and combating COVID-19.