Course Outline
Introduction to Machine Learning and Google Colab
- Overview of machine learning
- Setting up Google Colab
- Python refresher
Supervised Learning with Scikit-learn
- Regression models
- Classification models
- Model evaluation and optimization
Unsupervised Learning Techniques
- Clustering algorithms
- Dimensionality reduction
- Association rule learning
Advanced Machine Learning Concepts
- Neural networks and deep learning
- Support vector machines
- Ensemble methods
Special Topics in Machine Learning
- Feature engineering
- Hyperparameter tuning
- Model interpretability
Machine Learning Project Workflow
- Data preprocessing
- Model selection
- Model deployment
Capstone Project
- Defining the problem statement
- Data collection and cleaning
- Model training and evaluation
Summary and Next Steps
Requirements
- An understanding of basic programming concepts
- Experience with Python programming
- Familiarity with basic statistical concepts
Audience
- Data scientists
- Software developers
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 2600 € + VAT*
Contact us for an exact quote and to hear our latest promotions
Testimonials (2)
Getting people that never used AI some repetition in prompting and people that do use AI to consider different methods to using it.
Matthew Gay - Tarsus Pharmaceuticals
Course - Artificial Intelligence (AI) Overview
Working from first principles in a focused way, and moving to applying case studies within the same day
