Master Kecerdasan Artifisial for Machine Learning and Deep Learning Extension

This is a Visual Studio Code extension designed to simplify machine learning and deep learning workflows. It currently offers two basic features: creating a new file and creating a new notebook.

Features

• New File: Allows you to quickly create a new file with a default name and extension.
• New Notebook: Allows you to quickly create a new Jupyter notebook with a default name and the .ipynb extension.

Overview: Under Development.

Requirements

• Visual Studio Code version 1.60.0 or higher.
• Jupyter extension for Visual Studio Code, if you want to use the new notebook feature.

Installation

You can install this extension through the Visual Studio Code Marketplace. Simply search for mkalib and click install. Alternatively, you can download the .vsix file from the Marketplace and install it manually by selecting Install from VSIX in the Extensions view in Visual Studio Code.

Usage

To use the extension, simply open the Command Palette in Visual Studio Code (View > Command Palette) and type mkalib: New File or mkalib: New Notebook. Select the appropriate option and the extension will create a new file or notebook with a default name and extension.

Release Note

Version 0.1.0

Initial release of the extension with two basic features: creating a new file and creating a new notebook.

Version 0.1.3

• Added Logistic Regression From Scratch mkalib: Create Logistic Regression
• Added Logistic Regression With Sklearn mkalib: Create Logistic Regression

Known Issues

No known issues at this time.

Contributions

Contributions are welcome! If you would like to contribute to this extension, please create a pull request on GitHub.