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Copyright (c) 2025 Oracle and/or its affiliates.

The Universal Permissive License (UPL), Version 1.0

Subject to the condition set forth below, permission is hereby granted to any
person obtaining a copy of this software, associated documentation and/or data
(collectively the "Software"), free of charge and under any and all copyright
rights in the Software, and any and all patent rights owned or freely
licensable by each licensor hereunder covering either (i) the unmodified
Software as contributed to or provided by such licensor, or (ii) the Larger
Works (as defined below), to deal in both

(a) the Software, and
(b) any piece of software and/or hardware listed in the lrgrwrks.txt file if
one is included with the Software (each a "Larger Work" to which the Software
is contributed by such licensors),

without restriction, including without limitation the rights to copy, create
derivative works of, display, perform, and distribute the Software and make,
use, sell, offer for sale, import, export, have made, and have sold the
Software and the Larger Work(s), and to sublicense the foregoing rights on
either these or other terms.

This license is subject to the following condition:
The above copyright notice and either this complete permission notice or at
a minimum a reference to the UPL must be included in all copies or
substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
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Copyright (c) 2025 Oracle and/or its affiliates.

The Universal Permissive License (UPL), Version 1.0

Subject to the condition set forth below, permission is hereby granted to any
person obtaining a copy of this software, associated documentation and/or data
(collectively the "Software"), free of charge and under any and all copyright
rights in the Software, and any and all patent rights owned or freely
licensable by each licensor hereunder covering either (i) the unmodified
Software as contributed to or provided by such licensor, or (ii) the Larger
Works (as defined below), to deal in both

(a) the Software, and
(b) any piece of software and/or hardware listed in the lrgrwrks.txt file if
one is included with the Software (each a "Larger Work" to which the Software
is contributed by such licensors),

without restriction, including without limitation the rights to copy, create
derivative works of, display, perform, and distribute the Software and make,
use, sell, offer for sale, import, export, have made, and have sold the
Software and the Larger Work(s), and to sublicense the foregoing rights on
either these or other terms.

This license is subject to the following condition:
The above copyright notice and either this complete permission notice or at
a minimum a reference to the UPL must be included in all copies or
substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
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# Overview

Your First Data Science Project demonstrates how to build a complete end-to-end data science workflow using Oracle Cloud Infrastructure (OCI) Data Science Platform.
The project walks through the main stages of a typical machine learning lifecycle — from data preparation to model deployment and inference — using practical examples.

Reviewed: 2025.11.10

# What You’ll Learn

This project covers the following steps:

Data ingestion

Data preprocessing and visualization

Model training and validation

Model explainability

Model deployment

Endpoint invocation for predictions

# Prerequisites

Access to OCI Data Science Platform

Basic familiarity with Python and machine learning concepts

A valid compartment, resource principal and policies configured for Data Science services. More details can be found in the Guide for Your First Data Science Project prerequisites.pdf

# How to Use

Open the provided notebook in your OCI Data Science Notebook Session.

Select the following conda environment: automlx234_p310_cpu_x86_64_v1

Run the notebook cells in sequence to reproduce the complete workflow.

# License

Copyright (c) 2025 Oracle and/or its affiliates.

Licensed under the Universal Permissive License (UPL), Version 1.0.

See [LICENSE](https://github.com/oracle-devrel/technology-engineering/blob/main/LICENSE) for more details.
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