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Digital Urban History: Lausanne Time Machine
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Data Wrangling: Structuring and Wrangling Issues
Covers data wrangling stages, structuring techniques, and common issues in data preparation.
Data Wrangling with Hive: Managing Big Data Efficiently
Covers data wrangling techniques using Apache Hive for efficient big data management.
Data Wrangling: Transforming Data for Analysis
Covers the process of data wrangling, focusing on transforming and preparing data for analysis.
Data Science Innovations: Insights, Challenges, and Future
Explores advancements in data science, focusing on fast insights, data variety, and real-time intelligent data systems.
Data Cleaning Challenges: Optimizing Error Detection
Addresses challenges in data cleaning for analysis, proposing optimizations to reduce processing time.
Data Wrangling with Hadoop: Advanced Techniques
Covers advanced data wrangling techniques using Hadoop, focusing on Hive and HBase integration.
Feature Engineering: Polynomial Regression
Covers fitting linear regression on features of the original predictors for flexible feature representation.
Data Management Challenges: Hardware and Query Optimization
Explores hardware changes, query optimization, workload distribution, and effective strategies for academia and work-life balance.
Introduction to Data Stream Processing: Concepts and Applications
Covers the principles of data stream processing and its applications in real-time data analysis.
Data Preparation for Machine Learning: Categorical and Numerical Data
Explores data preparation for machine learning, emphasizing categorical to numerical conversion and effective data visualization techniques.
