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Overview
Data science, machine learning, and artificial intelligence in Python for students and professionals What you'll learn: Derive and solve a linear regression model, and apply it appropriately to data science problemsProgram your own version of a linear regression model in PythonUnderstand important foundations for OpenAI ChatGPT, GPT-4, DALL-E, Midjourney, and Stable DiffusionUnderstand regularization for machine learning and deep learningUnderstand closed-form solutions vs. numerical methods like gradient descentApply linear regression to a wide variety of real-world problems Ever wondered how...
Syllabus
- Welcome
- 1-D Linear Regression: Theory and Code
- Multiple linear regression and polynomial regression
- Practical machine learning issues
- Conclusion and Next Steps
- Appendix / FAQ Intro
- Setting Up Your Environment (FAQ by Student Request)
- Extra Help With Python Coding for Beginners (FAQ by Student Request)
- Effective Learning Strategies for Machine Learning (FAQ by Student Request)
- Appendix / FAQ Finale
Instructor
Lazy Programmer Inc.
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