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FreeAI/Machine Learningbeginner

Machine Learning

This course introduces you to the basics of machine learning and covers concepts such as single and multiple variable linear regression.

2 weeksEN9 lessons537 enrolled

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Machine Learning

Course Curriculum

1 modules · 4 subjects · 9 lessons
01
python seriesA series on machine learning with Python
4 subjects
Foundations and Data HandlingNew Description
3 lessons
  • Introduction to Machine LearningThis lesson introduces the basics of machine learning, its applications, and key terminology
  • Linear RegressionThis lesson covers the theory and implementation of linear regression for predicting continuous values.
  • Data Preprocessingthis lesson focuses on preparing data for machine learning models, including handling categorical data and splitting data for training and testing.
Supervised Learning AlgorithmsNew Description
2 lessons
  • Classification AlgorithmsA comprehensive look at various classification algorithms from simple to complex.
  • Model PersistenceThis lesson covers how to save and load trained models for future use.
Unsupervised Learning & Advanced ConceptsNew Description
2 lessons
  • Clustering and Dimensionality ReductionYou'll be introduced to unsupervised learning and techniques for grouping data and reducing features.
  • Model OptimizationThis lesson covers methods for improving model performance through hyper-parameter tuning and regularization.
Capstone projectsNew Description
2 lessons
  • Real Estate Price PredictionYou will build a complete real estate price prediction website using machine learning.
  • Image ClassificationBuild an end-to-end project to classify images using a machine learning model.

Skill Track

AI/Machine Learning

AI/Machine Learning

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