Oracle Machine Learning for Python on Oracle Cloud Course Overview
The 'Oracle Machine Learning for Python on Oracle Cloud Course Overview' equips data scientists, analysts, and developers with essential skills to harness the power of machine learning within Oracle Cloud. This course emphasizes practical applications, enabling professionals to enhance their analytical capabilities and drive informed decision-making in their organizations through advanced data insights.
Course outline & what you'll learn
- Introduction to Oracle Machine Learning (OML)
Overview of Oracle Machine Learning capabilities
- Benefits of using OML on Oracle Cloud Infrastructure
- Oracle Cloud environment overview
- Creating and managing an Oracle Cloud account
- Navigating Oracle Cloud Infrastructure (OCI)
- Setting up Oracle Autonomous Database for OML
- Python fundamentals for data science
- Python programming basics
- Using core data science libraries: Pandas, NumPy, and Matplotlib
- Oracle Machine Learning for Python (OML4Py) overview
- Architecture and components of OML4Py
- Writing and executing Python scripts in OML
- Connecting Python applications to Oracle Autonomous Database
- Data ingestion and management
- Importing and exporting data between Oracle and external sources
- Data cleaning, preprocessing, and transformation techniques
- Exploratory data analysis and visualization
- Machine learning concepts and algorithms
- Supervised and unsupervised learning overview
- Implementing regression models
- Implementing classification algorithms
- Implementing clustering techniques
- Model evaluation, validation, and performance metrics
- Advanced machine learning techniques
- Time series analysis
- Natural language processing (NLP) concepts
- Feature engineering and feature selection strategies
- Deploying machine learning models
- Exporting and operationalizing models
- Integrating models into applications
- Monitoring, maintaining, and retraining models in cloud environments
- Case studies and real-world applications
- Industry use cases for Oracle Machine Learning
- Best practices and lessons learned
- Course review and next steps
- Recap of key concepts and skills
- Learning paths for advanced machine learning and Oracle AI services
Why train with Traincrest
This Oracle course is delivered by Traincrest's certified instructors, live online or in the classroom, with hands-on labs and a 98% exam success rate. Trusted by 500+ companies and 50,000+ students worldwide.