cleanup

utkarshshri1016 · Jan 11, 2020 · 0c0f39a · 0c0f39a
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diff --git a/Chapter01/Exercise1.01/Exercise1_01.ipynb b/Chapter01/Exercise1.01/Exercise1_01.ipynb
@@ -776,7 +776,7 @@
    "outputs": [],
    "source": [
     "feats.to_csv('../data/OSI_feats.csv', index=False)\n",
-    "target.to_csv('../data/OSI_target.csv', header='Class', index=False)"
+    "target.to_csv('../data/OSI_target.csv', header='Revenue', index=False)"
    ]
   }
  ],

diff --git a/Chapter01/Exercise1.02/Exercise1_02.ipynb b/Chapter01/Exercise1.02/Exercise1_02.ipynb
@@ -859,22 +859,22 @@
     {
      "data": {
       "text/plain": [
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-       "        <matplotlib.axes._subplots.AxesSubplot object at 0x120471780>,\n",
-       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1204a4978>,\n",
-       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1204d4f28>],\n",
-       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x120515518>,\n",
-       "        <matplotlib.axes._subplots.AxesSubplot object at 0x120542ac8>,\n",
-       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1205800b8>,\n",
-       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1205b06a0>],\n",
-       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x1205b06d8>,\n",
-       "        <matplotlib.axes._subplots.AxesSubplot object at 0x120621208>,\n",
-       "        <matplotlib.axes._subplots.AxesSubplot object at 0x12064f7b8>,\n",
-       "        <matplotlib.axes._subplots.AxesSubplot object at 0x120683d68>],\n",
-       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x1206bf358>,\n",
-       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1206ee908>,\n",
-       "        <matplotlib.axes._subplots.AxesSubplot object at 0x120722eb8>,\n",
-       "        <matplotlib.axes._subplots.AxesSubplot object at 0x12075e4a8>]],\n",
+       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x10a26bd30>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x10a2c6f28>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x11a51e198>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x11a54b748>],\n",
+       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x11a57fcc0>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x11a5ba2b0>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x11a5eb860>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x11a61ee48>],\n",
+       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x11a61ee80>,\n",
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+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x11a6fb550>],\n",
+       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x11a72ab00>,\n",
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+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x11a7cac50>]],\n",
        "      dtype=object)"
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@@ -940,7 +940,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x120bc39b0>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x11abe2b00>"
       ]
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      "execution_count": 6,
@@ -1104,7 +1104,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x1210d0940>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x11aca6278>"
       ]
      },
      "execution_count": 10,
@@ -1850,7 +1850,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x121a30438>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x11bb24fd0>"
       ]
      },
      "execution_count": 25,

diff --git a/Chapter04/Activity4.02/Activity4_02.ipynb b/Chapter04/Activity4.02/Activity4_02.ipynb
diff --git a/Chapter04/Activity4.03/Activity4_03.ipynb b/Chapter04/Activity4.03/Activity4_03.ipynb
diff --git a/Chapter04/Exercise4.02/Exercise4_02.ipynb b/Chapter04/Exercise4.02/Exercise4_02.ipynb
diff --git a/Chapter04/Exercise4.03/Exercise4_03.ipynb b/Chapter04/Exercise4.03/Exercise4_03.ipynb
diff --git a/Chapter05/Activity5.01/Activity5_01.ipynb b/Chapter05/Activity5.01/Activity5_01.ipynb
diff --git a/Chapter05/Activity5.03/Activity5_03.ipynb b/Chapter05/Activity5.03/Activity5_03.ipynb
diff --git a/Chapter05/Exercise5.01/Exercise5_01.ipynb b/Chapter05/Exercise5.01/Exercise5_01.ipynb
diff --git a/Chapter05/Exercise5.02/Exercise5_02.ipynb b/Chapter05/Exercise5.02/Exercise5_02.ipynb
diff --git a/Chapter06/Activity6.01/Activity6_01.ipynb b/Chapter06/Activity6.01/Activity6_01.ipynb
@@ -257,20 +257,6 @@
     "X_test = pd.DataFrame(X_test, columns = X_train.columns)"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#Convert DataFrame to Numpy array\n",
-    "\n",
-    "#x_train=xtrain.values\n",
-    "#x_test=xtest.values\n",
-    "#y_train=ytrain.values\n",
-    "#y_test=ytest.values\n"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},

diff --git a/Chapter06/Activity6.02/Activity6_02.ipynb b/Chapter06/Activity6.02/Activity6_02.ipynb
@@ -321,7 +321,7 @@
    ],
    "source": [
     "# Fit the Model\n",
-    "model.fit(X_train, y_train, epochs=100, batch_size=20, verbose=1, validation_split=0.2)"
+    "model.fit(X_train, y_train, epochs=100, batch_size=20, verbose=1, validation_split=0.2, shuffle=False)"
    ]
   },
   {

diff --git a/Chapter06/Exercise6.03/Exercise6_03.ipynb b/Chapter06/Exercise6.03/Exercise6_03.ipynb
@@ -214,13 +214,7 @@
       "38400/38400 [==============================] - 6s 150us/step - loss: 0.0221 - accuracy: 0.9945 - val_loss: 0.0299 - val_accuracy: 0.9925\n",
       "Epoch 54/100\n",
       "38400/38400 [==============================] - 5s 135us/step - loss: 0.0237 - accuracy: 0.9940 - val_loss: 0.0472 - val_accuracy: 0.9925\n",
-      "Epoch 55/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
+      "Epoch 55/100\n",
       "38400/38400 [==============================] - 6s 152us/step - loss: 0.0214 - accuracy: 0.9939 - val_loss: 0.0414 - val_accuracy: 0.9925\n",
       "Epoch 56/100\n",
       "38400/38400 [==============================] - 5s 138us/step - loss: 0.0224 - accuracy: 0.9936 - val_loss: 0.0426 - val_accuracy: 0.9933\n",
@@ -327,7 +321,7 @@
    ],
    "source": [
     "# Fit the Model\n",
-    "model.fit(X_train, y_train, epochs=100, batch_size=20, verbose=1, validation_split=0.2)"
+    "model.fit(X_train, y_train, epochs=100, batch_size=20, verbose=1, validation_split=0.2, shuffle=False)"
    ]
   },
   {

diff --git a/Chapter07/Activity7.01/Activity7_01.ipynb b/Chapter07/Activity7.01/Activity7_01.ipynb
diff --git a/Chapter07/Activity7.02/Activity7_02.ipynb b/Chapter07/Activity7.02/Activity7_02.ipynb
diff --git a/Chapter07/Exercise7.01/Exercise7_01.ipynb b/Chapter07/Exercise7.01/Exercise7_01.ipynb
diff --git a/Chapter07/Exercise7.02/Exercise7_02.ipynb b/Chapter07/Exercise7.02/Exercise7_02.ipynb
diff --git a/Chapter07/Exercise7.03/Exercise7_03.ipynb b/Chapter07/Exercise7.03/Exercise7_03.ipynb
diff --git a/Chapter07/Exercise7.04/Exercise7_04.ipynb b/Chapter07/Exercise7.04/Exercise7_04.ipynb
diff --git a/Chapter08/Activity8.01/Activity8_01.ipynb b/Chapter08/Activity8.01/Activity8_01.ipynb
diff --git a/Chapter08/Activity8.02/Activity8_02.ipynb b/Chapter08/Activity8.02/Activity8_02.ipynb
diff --git a/Chapter08/Exercise8.01/Exercise8_01.ipynb b/Chapter08/Exercise8.01/Exercise8_01.ipynb
diff --git a/Chapter08/Exercise8.02/Exercise8_02.ipynb b/Chapter08/Exercise8.02/Exercise8_02.ipynb
diff --git a/Chapter08/Exercise8.03/Exercise8_03.ipynb b/Chapter08/Exercise8.03/Exercise8_03.ipynb
diff --git a/Chapter08/Exercise8.04/Exercise8_04.ipynb b/Chapter08/Exercise8.04/Exercise8_04.ipynb
diff --git a/Chapter09/Activity9.01/Activity9_01.ipynb b/Chapter09/Activity9.01/Activity9_01.ipynb
@@ -16,7 +16,8 @@
    "source": [
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
-    "import pandas as pd"
+    "import pandas as pd\n",
+    "from tensorflow import random"
    ]
   },
   {
@@ -131,7 +132,7 @@
     }
    ],
    "source": [
-    "dataset_training = pd.read_csv('AMZN_train.csv')\n",
+    "dataset_training = pd.read_csv('../AMZN_train.csv')\n",
     "dataset_training.head()"
    ]
   },
@@ -315,7 +316,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "np.random.seed(1)\n",
+    "seed = 1\n",
+    "np.random.seed(seed)\n",
+    "random.set_seed(seed)\n",
     "\n",
     "# initialize model\n",
     "model = Sequential()"
@@ -616,7 +619,7 @@
     }
    ],
    "source": [
-    "dataset_testing = pd.read_csv('AMZN_test.csv')\n",
+    "dataset_testing = pd.read_csv('../AMZN_test.csv')\n",
     "actual_stock_price = dataset_testing[['Open']].values\n",
     "actual_stock_price"
    ]

diff --git a/Chapter09/Activity9.02/Activity9_02.ipynb b/Chapter09/Activity9.02/Activity9_02.ipynb
@@ -16,7 +16,8 @@
    "source": [
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
-    "import pandas as pd"
+    "import pandas as pd\n",
+    "from tensorflow import random"
    ]
   },
   {
@@ -131,7 +132,7 @@
     }
    ],
    "source": [
-    "dataset_training = pd.read_csv('AMZN_train.csv')\n",
+    "dataset_training = pd.read_csv('../AMZN_train.csv')\n",
     "dataset_training.head()"
    ]
   },
@@ -255,7 +256,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "np.random.seed(1)\n",
+    "seed = 1\n",
+    "np.random.seed(seed)\n",
+    "random.set_seed(seed)\n",
     "\n",
     "model = Sequential()"
    ]
@@ -559,7 +562,7 @@
     }
    ],
    "source": [
-    "dataset_testing = pd.read_csv('AMZN_test.csv')\n",
+    "dataset_testing = pd.read_csv('../AMZN_test.csv')\n",
     "actual_stock_price = dataset_testing[['Open']].values\n",
     "actual_stock_price"
    ]

diff --git a/Chapter09/Activity9.03/Activity9_03.ipynb b/Chapter09/Activity9.03/Activity9_03.ipynb
@@ -16,7 +16,8 @@
    "source": [
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
-    "import pandas as pd"
+    "import pandas as pd\n",
+    "from tensorflow import random"
    ]
   },
   {
@@ -131,7 +132,7 @@
     }
    ],
    "source": [
-    "dataset_training = pd.read_csv('AMZN_train.csv')\n",
+    "dataset_training = pd.read_csv('../AMZN_train.csv')\n",
     "dataset_training.head()"
    ]
   },
@@ -315,7 +316,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "np.random.seed(1)\n",
+    "seed = 1\n",
+    "np.random.seed(seed)\n",
+    "random.set_seed(seed)\n",
     "\n",
     "model = Sequential()"
    ]
@@ -615,7 +618,7 @@
     }
    ],
    "source": [
-    "dataset_testing = pd.read_csv('AMZN_test.csv')\n",
+    "dataset_testing = pd.read_csv('../AMZN_test.csv')\n",
     "actual_stock_price = dataset_testing[['Open']].values\n",
     "actual_stock_price"
    ]