Welcome to the Machine Learning Basics course! This section will cover the fundamental concepts of machine learning, including data preprocessing, model selection, and evaluation. Whether you are a beginner or looking to refresh your knowledge, this course will provide you with a solid foundation in machine learning.

Course Outline

  • Introduction to Machine Learning

    • What is Machine Learning?
    • Types of Machine Learning

  • Data Preprocessing

    • Data Cleaning
    • Data Transformation
    • Feature Selection

  • Model Selection

    • Supervised Learning
    • Unsupervised Learning
    • Reinforcement Learning

  • Model Evaluation

    • Accuracy
    • Precision
    • Recall

  • Case Studies

    • Sentiment Analysis
    • Image Recognition

Resources

For more detailed information, you can refer to our Advanced Machine Learning Course.

Machine Learning

Data Preprocessing

Model Evaluation