diff --git a/machine_learning/NaiveBayes.ipynb b/machine_learning/NaiveBayes.ipynb index 5a427c5cb965..0d3142efc68f 100644 --- a/machine_learning/NaiveBayes.ipynb +++ b/machine_learning/NaiveBayes.ipynb @@ -3,9 +3,7 @@ { "cell_type": "code", "execution_count": 1, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ "from sklearn import datasets\n", @@ -15,9 +13,7 @@ { "cell_type": "code", "execution_count": 2, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ "iris = datasets.load_iris()" @@ -26,9 +22,7 @@ { "cell_type": "code", "execution_count": 3, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ "df = pd.DataFrame(iris.data)\n", @@ -38,9 +32,7 @@ { "cell_type": "code", "execution_count": 4, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ "def abc(k, *val):\n", @@ -58,67 +50,11 @@ { "data": { "text/plain": [ - "0 1\n", - "1 0\n", - "2 0\n", - "3 0\n", - "4 1\n", - "5 1\n", - "6 0\n", - "7 1\n", - "8 0\n", - "9 0\n", - "10 1\n", - "11 0\n", - "12 0\n", - "13 0\n", - "14 1\n", - "15 1\n", - "16 1\n", - "17 1\n", - "18 1\n", - "19 1\n", - "20 1\n", - "21 1\n", - "22 0\n", - "23 1\n", - "24 0\n", - "25 1\n", - "26 1\n", - "27 1\n", - "28 1\n", - "29 0\n", - " ..\n", - "120 1\n", - "121 1\n", - "122 1\n", - "123 1\n", - "124 1\n", - "125 1\n", - "126 1\n", - "127 1\n", - "128 1\n", - "129 1\n", - "130 1\n", - "131 1\n", - "132 1\n", - "133 1\n", - "134 1\n", - "135 1\n", - "136 1\n", - "137 1\n", - "138 1\n", - "139 1\n", - "140 1\n", - "141 1\n", - "142 1\n", - "143 1\n", - "144 1\n", - "145 1\n", - "146 1\n", - "147 1\n", - "148 1\n", - "149 1\n", + "0 1\n", + "1 0\n", + "2 0\n", + "3 0\n", + "4 1\n", "Name: sl, dtype: int64" ] }, @@ -128,15 +64,13 @@ } ], "source": [ - "df.sl.apply(abc, args=(5,))" + "df.sl.apply(abc, args=(5,)).head()" ] }, { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [] }, @@ -174,6 +108,19 @@ "data": { "text/html": [ "
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"{0: {'pl_labeled': {'a': 50},\n", - " 'pw_labeled': {'a': 50},\n", + "{0: {'total_count': 50,\n", " 'sl_labeled': {'a': 28, 'b': 22},\n", - " 'sw_labeled': {'a': 1, 'b': 7, 'c': 32, 'd': 10},\n", - " 'total_count': 50},\n", - " 1: {'pl_labeled': {'b': 7, 'c': 43},\n", - " 'pw_labeled': {'b': 10, 'c': 40},\n", - " 'sl_labeled': {'a': 3, 'b': 21, 'c': 24, 'd': 2},\n", + " 'sw_labeled': {'a': 1, 'b': 7, 'd': 10, 'c': 32},\n", + " 'pl_labeled': {'a': 50},\n", + " 'pw_labeled': {'a': 50}},\n", + " 1: {'total_count': 50,\n", + " 'sl_labeled': {'a': 3, 'b': 21, 'd': 2, 'c': 24},\n", " 'sw_labeled': {'a': 13, 'b': 29, 'c': 8},\n", - " 'total_count': 50},\n", - " 2: {'pl_labeled': {'c': 20, 'd': 30},\n", - " 'pw_labeled': {'c': 16, 'd': 34},\n", - " 'sl_labeled': {'a': 1, 'b': 5, 'c': 29, 'd': 15},\n", - " 'sw_labeled': {'a': 5, 'b': 28, 'c': 15, 'd': 2},\n", - " 'total_count': 50}}" + " 'pl_labeled': {'b': 7, 'c': 43},\n", + " 'pw_labeled': {'b': 10, 'c': 40}},\n", + " 2: {'total_count': 50,\n", + " 'sl_labeled': {'a': 1, 'b': 5, 'd': 15, 'c': 29},\n", + " 'sw_labeled': {'a': 5, 'b': 28, 'd': 2, 'c': 15},\n", + " 'pl_labeled': {'d': 30, 'c': 20},\n", + " 'pw_labeled': {'d': 34, 'c': 16}}}" ] }, - "execution_count": 15, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -1632,12 +408,19 @@ "source": [ "fit(df)" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { "anaconda-cloud": {}, "kernelspec": { - "display_name": "Python [default]", + "display_name": "Python 3", "language": "python", "name": "python3" }, @@ -1651,7 +434,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.5" + "version": "3.7.1" } }, "nbformat": 4, diff --git a/project_euler/problem_13/num.txt b/project_euler/problem_13/num.txt new file mode 100644 index 000000000000..43b568e812a8 --- /dev/null +++ b/project_euler/problem_13/num.txt @@ -0,0 +1,100 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+22918802058777319719839450180888072429661980811197 +77158542502016545090413245809786882778948721859617 +72107838435069186155435662884062257473692284509516 +20849603980134001723930671666823555245252804609722 +53503534226472524250874054075591789781264330331690 diff --git a/project_euler/problem_13/sol2.py b/project_euler/problem_13/sol2.py new file mode 100644 index 000000000000..c1416bcd6e7d --- /dev/null +++ b/project_euler/problem_13/sol2.py @@ -0,0 +1,5 @@ +sum = 0 +with open("num.txt",'r') as f: + for line in f: + sum += int(line) +print(str(sum)[:10]) diff --git a/project_euler/problem_16/sol2.py b/project_euler/problem_16/sol2.py new file mode 100644 index 000000000000..cce3d2354bb1 --- /dev/null +++ b/project_euler/problem_16/sol2.py @@ -0,0 +1,6 @@ +from __future__ import print_function +n = 2**1000 +r = 0 +while n: + r, n = r + n % 10, n // 10 +print(r)