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Related lectures (30)
Data Visualization: Techniques and Applications
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Explores data visualization techniques, design impact, and interactive applications for effective information communication.
Clustering & Density Estimation
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Covers clustering, PCA, LDA, K-means, GMM, KDE, and Mean Shift algorithms for density estimation and clustering.
Data Science: Python for Engineers - Part II
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Explores data wrangling, numerical data handling, and scientific visualization using Python for engineers.
Total scattering and PDF analysis
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Explores total scattering and PDF analysis in materials science, covering in-situ synthesis, data analysis techniques, and applications in host-guest systems.
Statistical Analysis: Boxplot and Normal Distribution
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Introduces statistical analysis concepts like boxplot and normal distribution using real data examples.
Data Science Visualization with Pandas
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Covers data manipulation and exploration using Python with a focus on visualization techniques.
Dimensionality Reduction: PCA & t-SNE
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Explores PCA and t-SNE for reducing dimensions and visualizing high-dimensional data effectively.
Introduction to Data Science
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Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Urban Metabolism Analysis
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Explores systemic environmental assessment, national material flow analysis, and urban metabolism dashboard development for Zurich using open data.
Data Visualization: Techniques, Tools & Concepts
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Covers data visualization techniques, tools, and concepts for effective data representation.
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