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What you'll learn
✓program logistic regression from scratch in Python
✓describe how logistic regression is useful in data science
✓derive the error and update rule for logistic regression
✓understand how logistic regression works as an analogy for the biological neuron
✓use logistic regression to solve real-world business problems like predicting user actions from e-commerce data and facial expression recognition
✓understand why regularization is used in machine learning
✓Understand important foundations for OpenAI ChatGPT, GPT-5, DALL-E, Midjourney, and Stable Diffusion
Requirements
•Derivatives, matrix arithmetic, probability
•You should know some basic Python coding with the Numpy Stack
Description
Frequently Asked Questions
Student Feedback
4.8
★★★★★
Course Rating
75%
15%
5%
5%
5%
S
Sarah J.
★★★★★2 weeks ago
This course was absolutely amazing! The instructor explained everything clearly and the projects were very helpful.
M
Michael T.
★★★★1 month ago
Great content, highly recommended for beginners. Just wish there were more practice exercises.
D
David K.
★★★★★2 months ago
Best course on this topic I've taken so far. Worth every penny (even better since I got it for free!).
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