diff --git a/analysis.ipynb b/analysis.ipynb new file mode 100644 index 0000000..362ad8e --- /dev/null +++ b/analysis.ipynb @@ -0,0 +1,539 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "0ba6ee9e", + "metadata": {}, + "source": [ + "# Titanic_Machine_Learning_from_Disaster" + ] + }, + { + "cell_type": "markdown", + "id": "ec6e69b1", + "metadata": {}, + "source": [ + "# Imports" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "ffcae455", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "import plotly.express as px" + ] + }, + { + "cell_type": "markdown", + "id": "d1b19cf9", + "metadata": {}, + "source": [ + "# Data description" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "3174342e", + "metadata": {}, + "outputs": [], + "source": [ + "df_train = pd.read_csv('train.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "4d561fad", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['PassengerId', 'Survived', 'Pclass', 'Name', 'Sex', 'Age', 'SibSp',\n", + " 'Parch', 'Ticket', 'Fare', 'Cabin', 'Embarked'],\n", + " dtype='object')" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_train.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "7818fc15", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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PassengerIdSurvivedPclassAgeSibSpParchFare
count891.000000891.000000891.000000714.000000891.000000891.000000891.000000
mean446.0000000.3838382.30864229.6991180.5230080.38159432.204208
std257.3538420.4865920.83607114.5264971.1027430.80605749.693429
min1.0000000.0000001.0000000.4200000.0000000.0000000.000000
25%223.5000000.0000002.00000020.1250000.0000000.0000007.910400
50%446.0000000.0000003.00000028.0000000.0000000.00000014.454200
75%668.5000001.0000003.00000038.0000001.0000000.00000031.000000
max891.0000001.0000003.00000080.0000008.0000006.000000512.329200
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" + ], + "text/plain": [ + " PassengerId Survived Pclass Age SibSp \\\n", + "count 891.000000 891.000000 891.000000 714.000000 891.000000 \n", + "mean 446.000000 0.383838 2.308642 29.699118 0.523008 \n", + "std 257.353842 0.486592 0.836071 14.526497 1.102743 \n", + "min 1.000000 0.000000 1.000000 0.420000 0.000000 \n", + "25% 223.500000 0.000000 2.000000 20.125000 0.000000 \n", + "50% 446.000000 0.000000 3.000000 28.000000 0.000000 \n", + "75% 668.500000 1.000000 3.000000 38.000000 1.000000 \n", + "max 891.000000 1.000000 3.000000 80.000000 8.000000 \n", + "\n", + " Parch Fare \n", + "count 891.000000 891.000000 \n", + "mean 0.381594 32.204208 \n", + "std 0.806057 49.693429 \n", + "min 0.000000 0.000000 \n", + "25% 0.000000 7.910400 \n", + "50% 0.000000 14.454200 \n", + "75% 0.000000 31.000000 \n", + "max 6.000000 512.329200 " + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_train.describe()" + ] + }, + { + "cell_type": "markdown", + "id": "07234316", + "metadata": {}, + "source": [ + "# Analysis before data cleaning" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "1472e369", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "sns.catplot(x='Sex', y='Survived', data=df_train, kind='violin')" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "538c8c4f", + "metadata": {}, + "outputs": [], + "source": [ + "# sns.pairplot(data=df_train, hue='Survived')" + ] + }, + { + "cell_type": "markdown", + "id": "06684f27", + "metadata": {}, + "source": [ + "# Data Cleaning" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "095ae1ae", + "metadata": {}, + "outputs": [], + "source": [ + "df_train = pd.get_dummies(data=df_train, columns=['Sex', 'Embarked'])" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "50c17ca4", + "metadata": {}, + "outputs": [], + "source": [ + "df_train.drop(['Sex_male', 'Name', 'Ticket', 'PassengerId'], axis=1, inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "b1949435", + "metadata": {}, + "outputs": [], + "source": [ + "df_train['Cabin'] = df_train['Cabin'].fillna('None')" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "8a75aa3b", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['None', 'C85', 'C123', 'E46', 'G6', 'C103', 'D56', 'A6',\n", + " 'C23 C25 C27', 'B78', 'D33', 'B30', 'C52', 'B28', 'C83', 'F33',\n", + " 'F G73', 'E31', 'A5', 'D10 D12', 'D26', 'C110', 'B58 B60', 'E101',\n", + " 'F E69', 'D47', 'B86', 'F2', 'C2', 'E33', 'B19', 'A7', 'C49', 'F4',\n", + " 'A32', 'B4', 'B80', 'A31', 'D36', 'D15', 'C93', 'C78', 'D35',\n", + " 'C87', 'B77', 'E67', 'B94', 'C125', 'C99', 'C118', 'D7', 'A19',\n", + " 'B49', 'D', 'C22 C26', 'C106', 'C65', 'E36', 'C54',\n", + " 'B57 B59 B63 B66', 'C7', 'E34', 'C32', 'B18', 'C124', 'C91', 'E40',\n", + " 'T', 'C128', 'D37', 'B35', 'E50', 'C82', 'B96 B98', 'E10', 'E44',\n", + " 'A34', 'C104', 'C111', 'C92', 'E38', 'D21', 'E12', 'E63', 'A14',\n", + " 'B37', 'C30', 'D20', 'B79', 'E25', 'D46', 'B73', 'C95', 'B38',\n", + " 'B39', 'B22', 'C86', 'C70', 'A16', 'C101', 'C68', 'A10', 'E68',\n", + " 'B41', 'A20', 'D19', 'D50', 'D9', 'A23', 'B50', 'A26', 'D48',\n", + " 'E58', 'C126', 'B71', 'B51 B53 B55', 'D49', 'B5', 'B20', 'F G63',\n", + " 'C62 C64', 'E24', 'C90', 'C45', 'E8', 'B101', 'D45', 'C46', 'D30',\n", + " 'E121', 'D11', 'E77', 'F38', 'B3', 'D6', 'B82 B84', 'D17', 'A36',\n", + " 'B102', 'B69', 'E49', 'C47', 'D28', 'E17', 'A24', 'C50', 'B42',\n", + " 'C148'], dtype=object)" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_train['Cabin'].unique()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "875d207c", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "None 687\n", + "C23 C25 C27 4\n", + "G6 4\n", + "B96 B98 4\n", + "C22 C26 3\n", + " ... \n", + "E34 1\n", + "C7 1\n", + "C54 1\n", + "E36 1\n", + "C148 1\n", + "Name: Cabin, Length: 148, dtype: int64" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_train['Cabin'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "b10cca7f", + "metadata": {}, + "outputs": [], + "source": [ + "df_train['Age'] = df_train['Age'].fillna(df_train['Age'].mean())" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "fdcbf0a5", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\Maciej\\AppData\\Local\\Temp/ipykernel_8664/4127688350.py:2: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df_train['Cabin'][df_train['Cabin'].isin(counts[counts==1].index)] = 'Alone'\n", + "C:\\Users\\Maciej\\AppData\\Local\\Temp/ipykernel_8664/4127688350.py:3: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df_train['Cabin'][df_train['Cabin'].isin(counts[counts==2].index)] = 'Double room'\n", + "C:\\Users\\Maciej\\AppData\\Local\\Temp/ipykernel_8664/4127688350.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df_train['Cabin'][df_train['Cabin'].isin(counts[counts==3].index)] = 'Three person room'\n", + "C:\\Users\\Maciej\\AppData\\Local\\Temp/ipykernel_8664/4127688350.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df_train['Cabin'][df_train['Cabin'].isin(counts[counts==4].index)] = 'Four person room'\n", + "C:\\Users\\Maciej\\AppData\\Local\\Temp/ipykernel_8664/4127688350.py:6: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df_train['Cabin'][df_train['Cabin'].isin(counts[counts>4].index)] = 'Other'\n" + ] + } + ], + "source": [ + "counts = df_train['Cabin'].value_counts().copy(deep=True)\n", + "df_train['Cabin'][df_train['Cabin'].isin(counts[counts==1].index)] = 'Alone'\n", + "df_train['Cabin'][df_train['Cabin'].isin(counts[counts==2].index)] = 'Double room'\n", + "df_train['Cabin'][df_train['Cabin'].isin(counts[counts==3].index)] = 'Three person room'\n", + "df_train['Cabin'][df_train['Cabin'].isin(counts[counts==4].index)] = 'Four person room'\n", + "df_train['Cabin'][df_train['Cabin'].isin(counts[counts>4].index)] = 'Other'" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "6d73e794", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Other 687\n", + "Alone 101\n", + "Double room 76\n", + "Three person room 15\n", + "Four person room 12\n", + "Name: Cabin, dtype: int64" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_train['Cabin'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "ae86ac06", + "metadata": {}, + "outputs": [], + "source": [ + "df_train = pd.get_dummies(data=df_train, columns=['Cabin'])" + ] + }, + { + "cell_type": "markdown", + "id": "7ed9bfbb", + "metadata": {}, + "source": [ + "# Analysis" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "3c82db70", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "corrmat = df_train.corr() \n", + "cols = corrmat.nlargest(15, 'Survived')['Survived'].index \n", + "cm = np.corrcoef(df_train[cols].values.T) \n", + "sns.set(font_scale=1.25) \n", + "hm = sns.heatmap(cm, cbar=True, annot=True, square=True, fmt='.2f', annot_kws={'size': 8}, yticklabels=cols.values, xticklabels=cols.values)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.7" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/gender_submission.csv b/gender_submission.csv new file mode 100644 index 0000000..80bbbd8 --- /dev/null +++ b/gender_submission.csv @@ -0,0 +1,419 @@ +PassengerId,Survived +892,0 +893,1 +894,0 +895,0 +896,1 +897,0 +898,1 +899,0 +900,1 +901,0 +902,0 +903,0 +904,1 +905,0 +906,1 +907,1 +908,0 +909,0 +910,1 +911,1 +912,0 +913,0 +914,1 +915,0 +916,1 +917,0 +918,1 +919,0 +920,0 +921,0 +922,0 +923,0 +924,1 +925,1 +926,0 +927,0 +928,1 +929,1 +930,0 +931,0 +932,0 +933,0 +934,0 +935,1 +936,1 +937,0 +938,0 +939,0 +940,1 +941,1 +942,0 +943,0 +944,1 +945,1 +946,0 +947,0 +948,0 +949,0 +950,0 +951,1 +952,0 +953,0 +954,0 +955,1 +956,0 +957,1 +958,1 +959,0 +960,0 +961,1 +962,1 +963,0 +964,1 +965,0 +966,1 +967,0 +968,0 +969,1 +970,0 +971,1 +972,0 +973,0 +974,0 +975,0 +976,0 +977,0 +978,1 +979,1 +980,1 +981,0 +982,1 +983,0 +984,1 +985,0 +986,0 +987,0 +988,1 +989,0 +990,1 +991,0 +992,1 +993,0 +994,0 +995,0 +996,1 +997,0 +998,0 +999,0 +1000,0 +1001,0 +1002,0 +1003,1 +1004,1 +1005,1 +1006,1 +1007,0 +1008,0 +1009,1 +1010,0 +1011,1 +1012,1 +1013,0 +1014,1 +1015,0 +1016,0 +1017,1 +1018,0 +1019,1 +1020,0 +1021,0 +1022,0 +1023,0 +1024,1 +1025,0 +1026,0 +1027,0 +1028,0 +1029,0 +1030,1 +1031,0 +1032,1 +1033,1 +1034,0 +1035,0 +1036,0 +1037,0 +1038,0 +1039,0 +1040,0 +1041,0 +1042,1 +1043,0 +1044,0 +1045,1 +1046,0 +1047,0 +1048,1 +1049,1 +1050,0 +1051,1 +1052,1 +1053,0 +1054,1 +1055,0 +1056,0 +1057,1 +1058,0 +1059,0 +1060,1 +1061,1 +1062,0 +1063,0 +1064,0 +1065,0 +1066,0 +1067,1 +1068,1 +1069,0 +1070,1 +1071,1 +1072,0 +1073,0 +1074,1 +1075,0 +1076,1 +1077,0 +1078,1 +1079,0 +1080,1 +1081,0 +1082,0 +1083,0 +1084,0 +1085,0 +1086,0 +1087,0 +1088,0 +1089,1 +1090,0 +1091,1 +1092,1 +1093,0 +1094,0 +1095,1 +1096,0 +1097,0 +1098,1 +1099,0 +1100,1 +1101,0 +1102,0 +1103,0 +1104,0 +1105,1 +1106,1 +1107,0 +1108,1 +1109,0 +1110,1 +1111,0 +1112,1 +1113,0 +1114,1 +1115,0 +1116,1 +1117,1 +1118,0 +1119,1 +1120,0 +1121,0 +1122,0 +1123,1 +1124,0 +1125,0 +1126,0 +1127,0 +1128,0 +1129,0 +1130,1 +1131,1 +1132,1 +1133,1 +1134,0 +1135,0 +1136,0 +1137,0 +1138,1 +1139,0 +1140,1 +1141,1 +1142,1 +1143,0 +1144,0 +1145,0 +1146,0 +1147,0 +1148,0 +1149,0 +1150,1 +1151,0 +1152,0 +1153,0 +1154,1 +1155,1 +1156,0 +1157,0 +1158,0 +1159,0 +1160,1 +1161,0 +1162,0 +1163,0 +1164,1 +1165,1 +1166,0 +1167,1 +1168,0 +1169,0 +1170,0 +1171,0 +1172,1 +1173,0 +1174,1 +1175,1 +1176,1 +1177,0 +1178,0 +1179,0 +1180,0 +1181,0 +1182,0 +1183,1 +1184,0 +1185,0 +1186,0 +1187,0 +1188,1 +1189,0 +1190,0 +1191,0 +1192,0 +1193,0 +1194,0 +1195,0 +1196,1 +1197,1 +1198,0 +1199,0 +1200,0 +1201,1 +1202,0 +1203,0 +1204,0 +1205,1 +1206,1 +1207,1 +1208,0 +1209,0 +1210,0 +1211,0 +1212,0 +1213,0 +1214,0 +1215,0 +1216,1 +1217,0 +1218,1 +1219,0 +1220,0 +1221,0 +1222,1 +1223,0 +1224,0 +1225,1 +1226,0 +1227,0 +1228,0 +1229,0 +1230,0 +1231,0 +1232,0 +1233,0 +1234,0 +1235,1 +1236,0 +1237,1 +1238,0 +1239,1 +1240,0 +1241,1 +1242,1 +1243,0 +1244,0 +1245,0 +1246,1 +1247,0 +1248,1 +1249,0 +1250,0 +1251,1 +1252,0 +1253,1 +1254,1 +1255,0 +1256,1 +1257,1 +1258,0 +1259,1 +1260,1 +1261,0 +1262,0 +1263,1 +1264,0 +1265,0 +1266,1 +1267,1 +1268,1 +1269,0 +1270,0 +1271,0 +1272,0 +1273,0 +1274,1 +1275,1 +1276,0 +1277,1 +1278,0 +1279,0 +1280,0 +1281,0 +1282,0 +1283,1 +1284,0 +1285,0 +1286,0 +1287,1 +1288,0 +1289,1 +1290,0 +1291,0 +1292,1 +1293,0 +1294,1 +1295,0 +1296,0 +1297,0 +1298,0 +1299,0 +1300,1 +1301,1 +1302,1 +1303,1 +1304,1 +1305,0 +1306,1 +1307,0 +1308,0 +1309,0 diff --git a/test.csv b/test.csv new file mode 100644 index 0000000..2ed7ef4 --- /dev/null +++ b/test.csv @@ -0,0 +1,419 @@ +PassengerId,Pclass,Name,Sex,Age,SibSp,Parch,Ticket,Fare,Cabin,Embarked +892,3,"Kelly, Mr. James",male,34.5,0,0,330911,7.8292,,Q +893,3,"Wilkes, Mrs. James (Ellen Needs)",female,47,1,0,363272,7,,S +894,2,"Myles, Mr. Thomas Francis",male,62,0,0,240276,9.6875,,Q +895,3,"Wirz, Mr. Albert",male,27,0,0,315154,8.6625,,S +896,3,"Hirvonen, Mrs. Alexander (Helga E Lindqvist)",female,22,1,1,3101298,12.2875,,S +897,3,"Svensson, Mr. Johan Cervin",male,14,0,0,7538,9.225,,S +898,3,"Connolly, Miss. Kate",female,30,0,0,330972,7.6292,,Q +899,2,"Caldwell, Mr. Albert Francis",male,26,1,1,248738,29,,S +900,3,"Abrahim, Mrs. Joseph (Sophie Halaut Easu)",female,18,0,0,2657,7.2292,,C +901,3,"Davies, Mr. John Samuel",male,21,2,0,A/4 48871,24.15,,S +902,3,"Ilieff, Mr. Ylio",male,,0,0,349220,7.8958,,S +903,1,"Jones, Mr. Charles Cresson",male,46,0,0,694,26,,S +904,1,"Snyder, Mrs. John Pillsbury (Nelle Stevenson)",female,23,1,0,21228,82.2667,B45,S +905,2,"Howard, Mr. Benjamin",male,63,1,0,24065,26,,S +906,1,"Chaffee, Mrs. Herbert Fuller (Carrie Constance Toogood)",female,47,1,0,W.E.P. 5734,61.175,E31,S +907,2,"del Carlo, Mrs. Sebastiano (Argenia Genovesi)",female,24,1,0,SC/PARIS 2167,27.7208,,C +908,2,"Keane, Mr. Daniel",male,35,0,0,233734,12.35,,Q +909,3,"Assaf, Mr. Gerios",male,21,0,0,2692,7.225,,C +910,3,"Ilmakangas, Miss. 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