test-environment.ipynb

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     "text": [
      "0.21.3\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import random\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import sklearn\n",
    "print(sklearn.__version__)\n",
    "from sklearn import tree\n",
    "from sklearn.cluster import KMeans\n",
    "from sklearn.covariance import EllipticEnvelope\n",
    "from sklearn.datasets import fetch_openml, load_boston, make_blobs\n",
    "from sklearn.decomposition import PCA\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.experimental import enable_iterative_imputer\n",
    "from sklearn.impute import IterativeImputer\n",
    "from sklearn.linear_model import LinearRegression, LogisticRegression\n",
    "from sklearn.metrics import (accuracy_score, confusion_matrix, f1_score,\n",
    "                             mean_squared_error, precision_score, r2_score,\n",
    "                             recall_score, silhouette_score)\n",
    "from sklearn.model_selection import KFold, train_test_split\n",
    "from sklearn.preprocessing import OneHotEncoder, StandardScaler\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.utils import check_random_state\n",
    "\n",
    "import keras\n",
    "from keras import backend as K\n",
    "from keras.layers import Dense\n",
    "from keras.models import Sequential\n",
    "from keras.preprocessing.image import img_to_array, load_img\n",
    "from skimage.io import imread\n",
    "from tensorflow.keras.layers import Dense, Dropout\n",
    "from tensorflow.keras.models import Sequential\n",
    "\n",
    "%matplotlib inline\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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