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Introduction to Machine Learning for Python

·        Introduction to Machine Learning for Python

·        Why Machine Learning and Usecases

·        Machine Learning Worflow and Types of ML Algorithms

·        Introduction to Oracle Machine Learning for Python and Features

·        OML4Py Features

·        Oracle Machine Learning for Python Advantages

·        OML Notebooks

·        Python Libraries in OML4Py

 

OML4Py Transparency Layer

·        OML4Py Transparency Layer

·        Combine Data

·        Clean and Split Data

·        Data Exploration

 

Working with Machine Learning Models

·        Working with Machine Learning Models

·        Common in-database algorithm features

·        Working with Machine Learning Models-I

·        Working with Machine Learning Models-II

·        Working with Machine Learning Models-III

·        Create a model proxy object from an existing model, Export and Import a Model Data Store for Python Objects

·        Data Store for Python Objects

·        Save Objects & Load Saved Objects from a Data Store

·        Get Information from a Data Store

·        Get Information and Delete Data Store Object

·        Manage access to stored objects

 

 

OML4Py Automated Machine Learning

·        OML4Py Automated Machine Learning

·        Machine Learning Workflow Automated by AutoML

·        Algorithm Selection

·        Feature Selection

·        Model Tuning

·        Model Selection

 

Embedded Python Execution

·        Introduction to Embedded Python Execution

·        Run a Python Function

·        Run a Python Function on the Specified Data

·        Run a Python Function on DataGrouped by Column Values

·        Introduction to Script Repository Overview

·        Load and Drop Script from Repository

·        Introduction to REST API

 

Working with cx_Oracle

·        Working with cx_Oracle

·        Oracle Architecture

·        ReadWrite Table Methods

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