Topics in data science

Related lectures (32)

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Explores graph mining in social networks, covering data analysis and community detection.

Covers the challenges and opportunities of data mining, practical questions, algorithm components, and applications like shopping basket analysis.

Explores the evolution from data analysis to AI and ML, emphasizing big data, machine learning, and social media interaction.

Explores digital transformation opportunities, big data, analytics, and technology innovations in business and research.

Covers decision tree classification using KNIME Analytics Platform for data preprocessing and model creation.

Covers best practices and guidelines for big data, including data lakes, architecture, challenges, and technologies like Hadoop and Hive.

Explores Big Data generation, storage, processing, and dimensions, along with challenges in data analytics, cloud computing elasticity, and security.

Covers the principles of data stream processing and its applications in real-time data analysis.

Provides an overview of the Apache Spark ecosystem, covering basics, operations, and key components.

Covers data wrangling techniques using Apache Hive for efficient big data management.