Normalisierung und Erstellung von Train/Test

1-first-project/ies/Tensor.ipynb

@@ -3,7 +3,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "9706d045",
+   "id": "024b33fe",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -15,7 +15,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "77388c0f",
+   "id": "72397786",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -37,7 +37,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "0fd516ff",
+   "id": "5f67ba6c",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -56,7 +56,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "389e84c0",
+   "id": "805421f9",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -67,7 +67,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "197a57c5",
+   "id": "a6a00ee3",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -78,7 +78,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "e456ab87",
+   "id": "877573a2",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -117,7 +117,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "cc789523",
+   "id": "93303e1e",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -125,7 +125,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "c59a84aa",
+   "id": "5eb3f0c1",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -141,7 +141,7 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "0c0a4649",
+   "id": "26bcaaad",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -196,7 +196,7 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "5a618dd4",
+   "id": "32584756",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -212,7 +212,7 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "52e5cc13",
+   "id": "e7056b09",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -229,7 +229,7 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "62463866",
+   "id": "fad8741d",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -241,7 +241,7 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "57ec862e",
+   "id": "96abe0b6",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -295,7 +295,7 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "cc2a6529",
+   "id": "2ec14876",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -306,7 +306,7 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "66975d62",
+   "id": "93d7b7e8",
    "metadata": {},
    "outputs": [
     {
@@ -338,7 +338,7 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "id": "cc664cf6",
+   "id": "bdd09b3a",
    "metadata": {},
    "outputs": [
     {
@@ -360,7 +360,7 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "id": "d8463d51",
+   "id": "b4b048c3",
    "metadata": {},
    "outputs": [
     {
@@ -384,7 +384,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "bbb07d9b",
+   "id": "d06cbda8",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -406,7 +406,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.5"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,