Covers: theory of Linear Regression
Estimated time needed to finish: 13 minutes
Questions this item addresses:
- Why is regression useful?
- What's the equation for a linear regression?
- How does linear regression works?
How to use this item?
Watch the full video. You can also follow the proposed code if you want to practice (approx. 15 min extra)
Fail to play? Open the link directly: https://www.youtube.com/watch?v=yEUKougrRSk
Author(s) / creator(s) / reference(s)
Siraj Raval
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Logistic Regression
Contributors
- Objectives
- Understand the concept of Logistic Regression
- Potential Use Cases
- Deep Learning Mathematical Foundations
- Who is This For ?
- BEGINNERDeep Learning practitioners new to Mathematical foundations
Click on each of the following annotated items to see details.
OTHER 1. Sigmoid Function
- How does sigmoid curve look like?
- What's the derivative of the Sigmoid function?
- What's the integral of the Sigmoid function?
10 minutes
VIDEO 2. Regression
- Why is regression useful?
- What's the equation for a linear regression?
- How does linear regression works?
13 minutes
ARTICLE 3. Logistic Regression
- What is logistic regression?
- How can I use logistic regression with an example?
- How can I use logistic regression in Python (Sklearn)?
15 minutes
ARTICLE 4. Logistic Regression
- What is Wrong with Linear Regression for Classification?
- How can logistic regression results be interpreted?
- What are the advantages and disadvantages of Logistic Regression?
15 minutes
BOOK_CHAPTER 5. Logistic Regression
- What is the difference between naïve Bayes and Logistic Regression?
- What is logistic regression?
- What advantages has the sigmoid function?
15 minutes
Concepts Covered
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