Advanced Machine Learning Algorithms
The “Advanced Machine Learning Algorithms” course focuses on sophisticated concepts and techniques that enable participants to address complex machine learning challenges. Building on foundational knowledge, this course covers advanced algorithms, feature engineering, and hyperparameter tuning.
Participants will gain hands-on experience with real-world datasets, learning best practices for optimizing model performance and conducting thorough evaluations. By the end, attendees will be equipped to apply advanced machine learning techniques effectively across various domains.
Content
- Machine Learning Types
- Theories & Techniques in Machine Learning
- Decision Trees
- Naive Bayes
- Neural Networks
- Advanced understanding of the Evaluation Metrics
- Feature Engineering
- Hyperparameters Tuning
- Best Practices to build a performant Model
Learning Outcomes
- Optimize model performance
- Conduct thorough evaluations
- Apply advanced machine learning techniques effectively across various domains
Training Method
Theoretical presentation
Practical exercises
Certification
Certificate of ParticipationPrerequisites
- Basic understanding of programming concepts
- Experience in coding with Python
- Good understanding of probability and statistics
Planning and location
09:00 - 17:00
09:00 - 17:00
09:00 - 17:00
09:00 - 17:00
ESCO Occupations
Your trainer(s) for this course
Zeyneb Gasmi
See trainer's courses.Data Consultant and Power BI Developer with around 3 years of experience in business intelligence and data analytics. Skilled in Microsoft technologies including Power BI, SSIS, SSAS, SSRS, and Microsoft Fabric DP 600 certified. Experienced in data integration, data modeling, and reporting, with additional skills in Python and knowledge of machine learning techniques.