AI p 2 Final 2.ipynb

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   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.metrics import accuracy_score\n",
    "log=LogisticRegression()\n",
    "train=pd.read_csv('train.csv')\n",
    "test_x=pd.read_csv('test_X.csv')\n",
    "test_y=pd.read_csv('test_Y.csv')\n",
    "\n",
    "## Preparing Train File\n",
    "train=train.replace(['male', 'female'], ['0','1'])\n",
    "train=train.replace(['C', 'S','Q'], ['0','1','2'])\n",
    "train=train.drop(columns=['Ticket','Cabin','Name','PassengerId','Embarked'])\n",
    "train=train.fillna(0)\n",
    "\n",
    "## Preparing Test File\n",
    "test_x=test_x.replace(['male', 'female'], ['0','1'])\n",
    "test_x=test_x.replace(['C', 'S','Q'], ['0','1','2'])\n",
    "test_x=test_x.drop(columns=['Ticket','Cabin','Name','PassengerId','Embarked'])\n",
    "test_x=test_x.fillna(0)\n",
    "\n",
    "## Preparing the Actuall Survival File of the Test file to Check Accuracy\n",
    "test_y=pd.read_csv('test_Y.csv')\n",
    "test_y=test_y.drop(columns=['PassengerId']).values\n",
    "\n",
    "## Splitting the Train File to Train the Model\n",
    "train_x=train.drop(['Survived'], axis=1).values\n",
    "train_y=train['Survived'].values\n",
    "\n",
    "## Fitting The Train File to the Model \n",
    "log.fit(train_x,train_y)\n",
    "\n",
    "## Performing Prediction on Test File\n",
    "pred = log.predict(test_x)\n",
    "\n",
    "## Checking Accuracy Against the Actual Survival Data\n",
    "accuracy_score(test_y,pred)\n"
   ]
  }
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