Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
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
14 Hours
Testimonials (1)
I really liked the end where we took the time to play around with CHAT GPT. The room was not set up the best for this- instead of one large table a couple of small ones so we could get into small groups and brainstorm would have helped
