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Overview
The Numpy, Scipy, Pandas, and Matplotlib stack: prep for deep learning, machine learning, and artificial intelligence What you'll learn: Understand supervised machine learning (classification and regression) with real-world examples using Scikit-LearnUnderstand and code using the Numpy stackMake use of Numpy, Scipy, Matplotlib, and Pandas to implement numerical algorithmsUnderstand the pros and cons of various machine learning models, including Deep Learning, Decision Trees, Random Forest, Linear Regression, Boosting, and More!Understand important foundations for OpenAI ChatGPT, GPT-4, DALL-E, Midjourney, and Stable...
Syllabus
- Welcome and Logistics
- Numpy (New)
- Matplotlib (New)
- Pandas (New)
- Scipy (New)
- Bonus Exercises
- Beginner Troubleshooting
- Machine Learning Basics
- Appendix / FAQ Intro
- Setting Up Your Environment (FAQ by Student Request)
Instructor
Lazy Programmer Inc.
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