Oracle Machine Learning using Python
Duration : 2 Days (16 Hours)
Oracle Machine Learning using Python Course Overview:
The Oracle Machine Learning using Python certification validates a professional’s expertise in implementing machine learning models using Python within the Oracle database environment. It demonstrates proficiency in data exploration, model building, evaluation, and deployment. Industries use this certification to identify skilled professionals capable of leveraging Oracle Database and Python’s scalability, security, and performance to solve complex data-driven problems. This certification helps professionals stand out in the data science job market and enables organizations to hire individuals with critical knowledge in developing advanced analytics solutions using Python and Oracle tools.
The target audience for Machine Learning on Oracle training includes:
- Data analysts
- Data scientists
- Database administrators
- Business analysts
- Software developers
- Professionals in business intelligence
- Professionals in data warehousing
- Professionals in big data
- IT managers
- Project leads
Learning Objectives of Oracle Machine Learning using Python:
The Oracle Machine Learning using Python training aims to equip participants with essential skills and knowledge to leverage Python and the Oracle Database for machine learning applications. The key learning objectives include:
1. Understanding the fundamentals of machine learning and Oracle Database.
2. Setting up and configuring the Python environment for Oracle Database connectivity.
3. Exploring various Python libraries and tools relevant to Oracle Machine Learning.
4. Learning to integrate Python with Oracle Database to access and manipulate data.
5. Implementing machine learning models and algorithms using Python and Oracle Data Mining.
6. Analyzing and visualizing data using Python and Oracle tools.
7. Optimizing machine learning models and demonstrating their accuracy and effectiveness.
8. Employing best practices for working with Oracle Machine Learning within Python.
9. Understanding the context of machine learning in real-world industry applications.
10. Developing hands-on experience through practical assignments and projects.
Module 01: Introduction to Machine Learning for
Module 02: OML4Py Transparency Layer
Module 03: Working with Machine Learning Models
Module 04: Data Store for Python Objects
Module 05: OML4Py Automated Machine Learning
Module 06: Embedded Python Execution
Module 07: Working with cx_Oracle
Oracle Machine Learning using Python Course Prerequisites:
The Oracle Machine Learning using Python training has no specific course prerequisites. However, having a foundational understanding of the following concepts will enhance your learning experience:
- Basic knowledge of Python programming: Familiarity with Python’s data types, variables, control structures, functions, and libraries is essential for working with Oracle Machine Learning.
- Understanding of machine learning concepts: Knowledge of basic machine learning algorithms, their working, and evaluation metrics will enable you to understand Oracle Machine Learning’s features and capabilities.
- Familiarity with data manipulation and analysis: Having a basic understanding of data manipulation, such as working with pandas and numpy, and data visualization using libraries like Matplotlib and Seaborn will help with data analysis and interpretation using Oracle Machine Learning.
- Experience with SQL and relational databases: It is helpful to have experience working with SQL queries, especially in Oracle databases, as most Oracle Machine Learning algorithms are implemented using SQL.
- Knowledge of Oracle Autonomous Database: Familiarity with Oracle Autonomous Database and its features will help you leverage the capabilities of Oracle Machine Learning.
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This course comes with following benefits:
- Practice Labs.
- Get Trained by Certified Trainers.
- Access to the recordings of your class sessions for 90 days.
- Digital courseware
- Experience 24*7 learner support.
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