gradient_descent_script.ipynb

gradient_descent_script.ipynb

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      "cell_type": "markdown",
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        "<a href=\"https://colab.research.google.com/gist/ritwikraha/0e0b3a044a18c03716d96608f38348e5/gradient_descent_script.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "source": [
        "import numpy as np\n",
        "\n",
        "def gradient_descent(x, y, theta, num_iterations):\n",
        "\n",
        "    m = len(y)  # Number of data points\n",
        "\n",
        "    for i in range(num_iterations):\n",
        "        # Calculate predictions\n",
        "        predictions = np.dot(x, theta)\n",
        "\n",
        "        # Calculate errors (residuals)\n",
        "        errors = predictions - y\n",
        "\n",
        "        # Calculate gradients\n",
        "        gradients = np.dot(x.T, errors) / m\n",
        "\n",
        "        # Update parameters\n",
        "        theta = theta * gradients\n",
        "\n",
        "    return theta\n"
      ]
    }
  ]
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