Logistic Regression for Classification using Julia
Balance data suing the SMOTE method.
Build a logistic regression model.
This guided project is about book genre classification using logistic regression in Julia. It is ideal for beginners who do not know what logistic regression is because this project explains these concepts in simple terms. While you are watching me code, you will get a cloud desktop with all the required software pre-installed. This will allow you to code along with me. After all, we learn best with active, hands-on learning. Special features: 1) Simple explanations of important concepts. 2) Use of images to aid in explanation. 3) Use a real world dataset. Note: This project works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Skills you will develop
- Data Science
- Machine Learning
- Logistic Regression
- data preperation
- julia
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Exploratory data analysis
One-hot encoding
Check if data is balanced
Build a logistic regression model
Check model accuracy
Check ROC numbers to determine number of false positives and false negatives.
Using SMOTE to correct the imbalanced data
How Guided Projects work
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
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