Lectures related to Poetry | EPFL Graph Search

Covers data manipulation and exploration using Python with a focus on visualization techniques.

Explores the significance of reproducibility in data science and introduces Renku, a platform for managing data-driven projects.

Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.

Covers the essentials of Data Science using Python, Numpy, Pandas, and Scikit-learn, including DNA sequence analysis and classification.

Explores combining data at rest with data in motion, emphasizing the Lambda architecture complexities and quality assessment of streams and batches.