AI & Data Science Sessions
Explore data science workflows, machine learning preparation, and AI-powered development
Data Exploration & Preparation
Introduction to data science workflows, data formats, and preparation techniques for ML projects
Introduction to Data Exploration
Data science workflows, exploration techniques, and tools like Orange for data analysis
Lecture 2Data Preparation
Cleaning, transforming, and preparing data for machine learning projects
Lecture 3Data Formats: XML
Understanding and working with XML data structures and formats
Lecture 4Data Formats: REST API
Working with REST APIs, JSON, and retrieving data from web services
Lecture 5Web Scraping
Techniques for extracting data from websites and web applications
Vibe Coding with AI
A pragmatic approach to coding in the context of AI and data science
Vibe Coding Methodology
AI-powered development approaches, tools, and best practices for modern coding
PracticalData Preparation with AI
Using AI tools to accelerate data preparation workflows
Case StudiesReal-world Applications
Practical case studies and examples of AI-assisted development
AdvancedAI Limitations & Testing
Understanding AI limitations and implementing proper test cases