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Deep Learning Prerequisites: Logistic Regression in Python

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Overview

Data science, machine learning, and artificial intelligence in Python for students and professionals What you'll learn: program logistic regression from scratch in Pythondescribe how logistic regression is useful in data sciencederive the error and update rule for logistic regressionunderstand how logistic regression works as an analogy for the biological neuronuse logistic regression to solve real-world business problems like predicting user actions from e-commerce data and facial expression recognitionunderstand why regularization is used in machine learningUnderstand important foundations for OpenAI...

Syllabus

  • Start Here
  • Basics: What is linear classification? What's the relation to neural networks?
  • Solving for the optimal weights
  • Practical concerns
  • Checkpoint and applications: How to make sure you know your stuff
  • Project: Facial Expression Recognition
  • Background Review
  • Appendix / FAQ Intro
  • Setting Up Your Environment (FAQ by Student Request)
  • Extra Help With Python Coding for Beginners (FAQ by Student Request)


Deep Learning Prerequisites: Logistic Regression in Python
Go to Class

via Udemy

6 hours 51 minutes

Certificate Available

English

On-Demand

Beginner

Instructor

Lazy Programmer Inc.

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