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Server Management

Machine Learning Basics

Instructor: David Richard

Created: 26 Feb, 2025

Courses Descriptions

"Learn the fundamentals of Machine Learning, including key concepts, algorithms, and real-world applications to build a strong foundation in AI."

What is Machine Learning?
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Importance and Real-World Applications
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Types of Machine Learning (Supervised, Unsupervised, Reinforcement Learning)
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Key Terms and Concepts (Features, Labels, Training, Testing)
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Setting Up the Learning Environment (Python, Jupyter Notebook, Libraries)
0:00:00

Overview of Supervised Learning
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Regression vs. Classification
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Common Algorithms in Supervised Learning
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Model Evaluation (Accuracy, Precision, Recall, F1-Score)
0:00:00
Hands-on: Building and Evaluating a Simple ML Model
0:00:00

Overview of Unsupervised Learning
0:00:00
Clustering Algorithms
0:00:00
Dimensionality Reduction Techniques
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Real-World Applications (Customer Segmentation, Anomaly Detection)
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Hands-on: Implementing Clustering with Real Data
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Overfitting and Underfitting
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Cross-Validation Techniques
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Hyperparameter Tuning (Grid Search, Random Search)
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Feature Engineering and Selection
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Hands-on: Improving Model Performance
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What is Deep Learning?
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Introduction to Neural Networks
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Overview of TensorFlow & PyTorch
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Ethical Considerations in Machine Learning
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Future of Machine Learning & AI
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Final Project: Apply Machine Learning to a Real-World Problem
0:00:00

Instructor

David Richard

Web Developer

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184 Courses

12 Students

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Courses Includes:

  • Price : ₦0.00
  • Instructor : David Richard
  • Durations : 60 Hour
  • Lessons :
  • Students : 0
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  • Certifications : Yes
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