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    "info": {
        "author": "Alan Bi",
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            "License :: OSI Approved :: MIT License",
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        "description": "# BasicML\n\nBasicML is a Python package containing implementations of basic machine learning algorithms. Below is a list of all the ML models that come with this package: \n\n**Regression:** \n- LinearRegression\n\n**Classification:** \n- DecisionTree\n- KNearestNeighbors\n- LogisticRegression\n- NeuralNetwork\n\n**Clustering**\n- KMeans\n\n## Installation: \n\nInstall using pip:\n\n`pip install basic-ml`\n\n\n## Usage\n\n```python\nimport numpy as np  \nfrom ml import LinearRegression  \n\n# Replace with your own data\ntrn_X, trn_y, tst_X, tst_y = np.ones(1), np.ones(1), np.ones(1), np.ones(1)  \n\nlr = LinearRegression()  \nlr.fit(trn_X, trn_y)  \n\npredictions = lr.predict(tst_X)  \nprint('Predicted: {}\\nActual: {}'.format(predictions, tst_y))\n```\n\nTo see example code, open/run any of the 6 main Python files in the `ml` folder.\n\n## Contact\n\nReach out to me at [alan.bi326@gmail.com](mailto:alan.bi326@gmail.com) for questions and feedback!\n\n\n\n",
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        "name": "basic-ml",
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