Recipe
publicShareStar

Learning Logistic Regression

Collaborators
Reviewers
Total time needed: ~2 hours
Learning Objectives
Learn a key model in Supervised Machine Learning and pave your way for future Machine Learning endeavers
Potential Use Cases
Binary/multinomial classification; Understanding Neural Networks
Target Audience
BEGINNER
Go through the following annotated items in order:
VIDEO 1. StatsQuest - Logistic Regression
StatsQuest provides a series of videos that clearly explains concepts in way that is easy to understand.
10 minutes
BOOK_CHAPTER 2. Speech and Language Processing
This is an available free e-book from a trustworthy institute. Readers should consider this book as a great resource for learning some key concepts and NLP.
50 minutes
BOOK_CHAPTER 3. Interpretable Machine Learning
This is an available free e-book with clear explanations
30 minutes
ARTICLE 4. Wikipedia - Discriminative Model
An easy concept that can be easily learnt through reading wikipedia.
3 minutes
ARTICLE 5. Wikipedia - Supervised Learning
An easy concept that can be easily learnt through reading wikipedia.
3 minutes
ARTICLE 6. Wikipedia - Linear Classifier
An easy concept that can be easily learnt through reading wikipedia.
3 minutes

Concepts Covered