Data Science EssentialsCovers the essentials of data science, including data handling, visualization, and analysis, emphasizing practical skills and active engagement.
Introduction to Data ScienceIntroduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Water Consumption in GenevaExplores water consumption data in Geneva, including charts on consumption and losses, available datasets, and data processing phases.
Multiclass ClassificationCovers the concept of multiclass classification and the challenges of linearly separating data with multiple classes.
Data Science FundamentalsCovers the fundamentals of data science, the scientific method evolution, the role of a data scientist, and the significance of data as the new oil.
