3_07.ipynb

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    "### Aufgabe 12\n",
    "\n",
    "_Okay, nächster Schritt: Die Daten für unsere Diagnose-Software liegen in Matrixform (samples x features) vor. Bisher berechnen wir die Wahrscheinlichkeiten allerdings noch für jeden Hund seperat. Lass uns das mal gleichzeitig tun. Schreibe den Code dafür in Matrix-Schreibweise um._"
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    "import numpy as np\n",
    "\n",
    "# Daten laden\n",
    "D = np.load('data/train_data.npy')"
   ]
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   "cell_type": "code",
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    "def sigmoid(x):\n",
    "    sigm = # Dein Code hier\n",
    "    return sigm\n",
    "\n",
    "\n",
    "def p(X, w, b):\n",
    "    prob = # Dein Code hier\n",
    "    return prob"
   ]
  }
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