Machine Learning: Logistic Regression
Offered By: Codecademy
Course Description
Overview
Predict the probability that a datapoint belongs to a given class with Logistic Regression.
Continue your Machine Learning learning journey with Machine Learning: Logistic Regression. Learn how to implement and evaluate Logistic Regression models, and interpret the probabilities it returns. Use these skills to predict the class of new data points.
* Prepare data for a Logistic Regression model
* Implement and assess Logistic Regression models
* Solve problems like disease identification and customer conversion
Continue your Machine Learning learning journey with Machine Learning: Logistic Regression. Learn how to implement and evaluate Logistic Regression models, and interpret the probabilities it returns. Use these skills to predict the class of new data points.
* Prepare data for a Logistic Regression model
* Implement and assess Logistic Regression models
* Solve problems like disease identification and customer conversion
Syllabus
- Logistic Regression: Find the probability of data samples belonging to a specific class with one of the most popular classification algorithms.
- Lesson: Logistic Regression
- Quiz: Logistic Regression
- Project: Predict Titanic Survival
- Logistic Regression II: Learn about the assumptions behind the logistic regression algorithm, prediction thresholds, ROC curves and class imbalance.
- Lesson: Logistic Regression II
- Quiz: Logistic Regression II
- Project: Income Classification using Logistic Regression
- Informational: Next Steps
Taught by
Alex DiStasi
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