Motivation TheoriesExplores motivation theories, team engagement, and management in a global context.
Applied Machine LearningIntroduces applied machine learning concepts such as data collection, feature engineering, model selection, and performance evaluation metrics.
Singular Value DecompositionExplores Singular Value Decomposition and its role in unsupervised learning and dimensionality reduction, emphasizing its properties and applications.
Data Science EssentialsCovers the essentials of data science, including data handling, visualization, and analysis, emphasizing practical skills and active engagement.
