Python: Logistic Regression & Supervised ML
$49
ENROLL NOWCourse Overview
What You'll Learn
- This hands-on course equips learners with the foundational knowledge and practical skills required to build and evaluate supervised machine learning models using Python.
- Designed around the real-world Titanic dataset, the course walks learners through the complete machine learning pipeline—from project setup and lifecycle understanding to model deployment readiness.
- In Module 1, learners will define the machine learning project structure, identify essential Python libraries such as NumPy and pandas, and understand the conceptual foundations of algorithms including Decision Trees and Logistic Regression.
This hands-on course equips learners with the foundational knowledge and practical skills required to build and evaluate supervised machine learning models using Python. Designed around the real-world Titanic dataset, the course walks learners through the complete machine learning pipeline—from project setup and lifecycle understanding to model deployment readiness. In Module 1, learners will define the machine learning project structure, identify essential Python libraries such as NumPy and pandas, and understand the conceptual foundations of algorithms including Decision Trees and Logistic Regression. In Module 2, learners will apply exploratory data analysis techniques, clean and prepare datasets, and construct engineered features. They will also evaluate their models using metrics such as confusion matrices and cross-validation to improve model reliability and generalization. By the end of this course, learners will be able to independently implement supervised learning models on real datasets and interpret results with confidence.
Course FAQs
Is this an accredited online course?
Accreditation for 'Python: Logistic Regression & Supervised ML' is determined by the provider, EDUCBA. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.
Can this course be used for continuing education credits?
Many of the courses listed on our platform are suitable for professional continuing education. However, acceptance for credit varies by state and licensing board. Please confirm with your board and {course.provider} that this specific course qualifies.
How do I enroll in this online school program?
To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Python: Logistic Regression & Supervised ML' on the EDUCBA online class platform, where you can complete your registration.
