Generating Synthetic Data with GenAI tools and Python: Techniques, Model Selection, and Real-World Applications
Sub Category
- Data Science
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Objectives
- Master Python techniques for synthetic data generation with SDV.
- Understand the importance and applications of synthetic data.
- Generate high-quality synthetic data using GANs and VAEs.
- Preprocess real-world data for effective synthetic data modeling.
- Select and implement the best models for synthetic data generation.
- Evaluate synthetic data quality with SDMetrics.
- Ensure data privacy and integrity in synthetic data generation.
- Apply synthetic data techniques to healthcare, finance, and retail.
- Handle complex datasets with advanced synthetic data techniques.
- Explore future trends and technologies in synthetic data generation.
Pre Requisites
- Basic Programming Knowledge: Familiarity with Python programming is recommended.
- Fundamental Data Science Concepts: A basic understanding of data science principles is recommended.
- oftware Requirements: Learners should have access to a computer with an internet connection and the ability to install necessary software packages such as Python, NumPy, Pandas, and SDV.
- Interest in Data Analysis: Enthusiasm for data analysis and a willingness to learn about synthetic data generation and its applications across various industries.
- No advanced programming experience or deep knowledge of machine learning is required. This course is designed to guide you through all necessary concepts and tools from the ground up, making it accessible to beginners eager to explore synthetic data generation.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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