import.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "from keras.models import Sequential\n",
    "from keras.layers import Dense\n",
    "from keras.layers import LSTM\n",
    "from keras.layers import Dropout\n",
    "from keras.layers import Activation\n",
    "from keras.models import load_model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset = pd.read_csv('data_mv_set.csv')\n",
    "del dataset['uuid']\n",
    "del dataset['exchange']\n",
    "del dataset['volume_avg_today']\n",
    "del dataset['volume_avg_24h']\n",
    "del dataset['trades_today']\n",
    "del dataset['trades_24h']\n",
    "del dataset['low_today']\n",
    "del dataset['low_24h']\n",
    "del dataset['high_today']\n",
    "del dataset['high_24h']\n",
    "del dataset['opening_price']"
   ]
  }
 ],
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