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Codecademy

Machine Learning: Logistic Regression

via Codecademy

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


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

Reviews

4.1 rating at Codecademy based on 153 ratings

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