Machine Learning Full Course | Learn Machine Learning | Machine Learning Tutorial | Simplilearn

Simplilearn · Beginner ·📐 ML Fundamentals ·6:21:33 ·6y ago

Key Takeaways

This video covers the fundamentals of machine learning, including supervised and unsupervised learning, through a full course tutorial by Simplilearn in collaboration with Purdue University.

Original Description

"️ Professional Certificate in AI and Machine Learning by Simplilearn in collaboration with Purdue University ...
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This machine learning full course tutorial by Simplilearn covers the basics of machine learning, including supervised and unsupervised learning, and provides hands-on experience with Python libraries like Scikit-learn and TensorFlow. By the end of this course, learners will be able to apply machine learning concepts to real-world problems and implement algorithms using popular libraries.

Key Takeaways
  1. Install Python and required libraries
  2. Import necessary libraries and load datasets
  3. Preprocess data using techniques like normalization and feature scaling
  4. Train models using supervised and unsupervised learning algorithms
  5. Evaluate model performance using metrics like accuracy and precision
💡 Machine learning is a key aspect of artificial intelligence that enables systems to learn from data and make predictions or decisions without being explicitly programmed.

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