research wavelets

.ipynb_checkpoints/Untitled-checkpoint.ipynb

+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

.ipynb_checkpoints/prediction_MSE_kelly-checkpoint.ipynb

@@ -152,15 +152,7 @@
   },
   {
    "cell_type": "code",
-<<<<<<< HEAD:.ipynb_checkpoints/prediction_MSE_kelly-checkpoint.ipynb
    "execution_count": 52,
-=======
-<<<<<<< HEAD
-   "execution_count": 31,
-=======
-   "execution_count": 43,
->>>>>>> e4df997c1a14994e77600c8c4e3e1a2ec84ff59e
->>>>>>> 2350ec9881b7954dc94449b36af098af82acbb95:.ipynb_checkpoints/prediction_MSE-checkpoint.ipynb
    "id": "fa65dcd6",
    "metadata": {},
    "outputs": [

Untitled.ipynb

+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "8868bc30",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "76317b02",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = [2,3,3,4,2,1,5,6,4,3,3,3,6,4,5,4,3,2]\n",
+    "density = kde.gaussian_kde(data)\n",
+    "x = np.linspace(-2,10,300)\n",
+    "y=density(x)\n",
+    "\n",
+    "sns.kdeplot(data,bw=0.25)\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "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": "3.9.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

prediction_MSE_kelly.ipynb

@@ -199,7 +199,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.11"
+   "version": "3.9.1"
   }
  },
  "nbformat": 4,