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Foundational Machine Learning Models with Sklearn

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Overview

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Learn fundamental machine learning models with Sklearn, centered on the Iris Dataset. This course covers key algorithms like linear and logistic regression, and decision trees. Master implementation, evaluation, and optimization to pave the way for advanced machine learning concepts.

Syllabus

  • Lesson 1: Exploring Sklearn: Introduction to Machine Learning Basics
  • Lesson 2: Exploring Linear Regression with Python and Sklearn
  • Lesson 3: Logistic Regression with the Iris Dataset
  • Lesson 4: Decision Tree Models for Decision Making
  • Lesson 5: Evaluating Machine Learning Models: Metrics and Practices
  • Lesson 6: Comparing Different Models
  • Lesson 7: Optimizing Machine Learning Models: A Practical Guide

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