Scikit-GradientDescent.ipynb

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      "Slope(m) is: 2.0\n",
      "Intercept(b) is: 3.0\n",
      "Predicted values: [ 5.  7.  9. 11. 13.]\n"
     ]
    }
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   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "import numpy as np\n",
    "\n",
    "# Sample data\n",
    "x = np.array([1, 2, 3, 4, 5]).reshape(-1, 1)  # Reshape required for scikit-learn\n",
    "y = np.array([5, 7, 9, 11, 13])\n",
    "\n",
    "# Create and train the model\n",
    "model = LinearRegression()\n",
    "model.fit(x, y)\n",
    "\n",
    "m = model.coef_[0]\n",
    "b= model.intercept_\n",
    "\n",
    "# Print the slope (m) and intercept (b)\n",
    "print(f\"Slope(m) is: {m}\")\n",
    "print(f\"Intercept(b) is: {b}\")\n",
    "\n",
    "# Predicting using the model\n",
    "y_pred = model.predict(x)\n",
    "print(f\"Predicted values: {y_pred}\")\n"
   ]
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   "source": [
    "## "
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