Decision trees

Author: sarincr

.ipynb_checkpoints/21.Decision TreesVIz-checkpoint.ipynb

@@ -0,0 +1,61 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import IPython, graphviz, re\n",
+    "from io import StringIO\n",
+    "from IPython.display import Image\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import math\n",
+    "from sklearn import tree\n",
+    "from sklearn.datasets import load_boston, load_iris\n",
+    "from collections import defaultdict"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from dtreeviz.trees import *\n",
+    "\n",
+    "regr = tree.DecisionTreeRegressor(max_depth=5, random_state=666)\n",
+    "boston = load_boston()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.6.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

21.Decision TreesVIz.ipynb

@@ -0,0 +1,71 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import IPython, graphviz, re\n",
+    "from io import StringIO\n",
+    "from IPython.display import Image\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import math\n",
+    "from sklearn import tree\n",
+    "from sklearn.datasets import load_boston, load_iris\n",
+    "from collections import defaultdict"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from dtreeviz.trees import *\n",
+    "\n",
+    "regr = tree.DecisionTreeRegressor(max_depth=5, random_state=666)\n",
+    "boston = load_boston()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "X_train = pd.DataFrame(boston.data, columns=boston.feature_names)\n",
+    "y_train = boston.target\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.6.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}