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Simple Linear Regression
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3 files changed

+358
-34
lines changed

3 files changed

+358
-34
lines changed

‎Salary_Data.csv

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YearsExperience,Salary
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1.1,39343.00
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1.3,46205.00
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1.5,37731.00
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2.0,43525.00
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4.5,61111.00
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4.9,67938.00
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5.1,66029.00
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5.9,81363.00
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6.0,93940.00
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6.8,91738.00
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7.1,98273.00
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7.9,101302.00
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8.2,113812.00
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8.7,109431.00
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9.0,105582.00
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9.5,116969.00
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9.6,112635.00
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10.5,121872.00

‎practice.ipynb

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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"colab": {
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"background_save": true
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},
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"id": "qZxQqAVRE6SL"
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},
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"outputs": [],
@@ -23,7 +20,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"execution_count": 1,
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"metadata": {
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"id": "i6HqgvA6FEp4"
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},
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"execution_count": 2,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/",
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"height": 206
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},
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"id": "9k_z8bRmFTvQ",
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"outputId": "e6b7bae5-b03e-4851-f024-72822487848c"
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},
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"outputs": [
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{
@@ -59,7 +56,7 @@
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],
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"text/html": [
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"\n",
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" <div id=\"df-405b7ffb-cc5e-452a-963f-910d12061009\" class=\"colab-df-container\">\n",
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" <div id=\"df-fe0010d2-1744-4911-8133-7f1574a1a950\" class=\"colab-df-container\">\n",
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" <div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" <div class=\"colab-df-buttons\">\n",
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"\n",
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" <div class=\"colab-df-container\">\n",
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" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-405b7ffb-cc5e-452a-963f-910d12061009')\"\n",
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" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-fe0010d2-1744-4911-8133-7f1574a1a950')\"\n",
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" title=\"Convert this dataframe to an interactive table.\"\n",
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" style=\"display:none;\">\n",
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"\n",
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"\n",
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" <script>\n",
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" const buttonEl =\n",
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" document.querySelector('#df-405b7ffb-cc5e-452a-963f-910d12061009 button.colab-df-convert');\n",
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" document.querySelector('#df-fe0010d2-1744-4911-8133-7f1574a1a950 button.colab-df-convert');\n",
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" buttonEl.style.display =\n",
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" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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"\n",
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" async function convertToInteractive(key) {\n",
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" const element = document.querySelector('#df-405b7ffb-cc5e-452a-963f-910d12061009');\n",
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" const element = document.querySelector('#df-fe0010d2-1744-4911-8133-7f1574a1a950');\n",
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" const dataTable =\n",
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" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
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" [key], {});\n",
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" </div>\n",
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"\n",
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"\n",
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"<div id=\"df-611822fe-e12e-4369-9752-8cbfe739403e\">\n",
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" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-611822fe-e12e-4369-9752-8cbfe739403e')\"\n",
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"<div id=\"df-9cecff8c-2f40-492c-b542-c46c563370d2\">\n",
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" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-9cecff8c-2f40-492c-b542-c46c563370d2')\"\n",
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" title=\"Suggest charts\"\n",
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" style=\"display:none;\">\n",
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"\n",
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" }\n",
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" (() => {\n",
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" let quickchartButtonEl =\n",
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" document.querySelector('#df-611822fe-e12e-4369-9752-8cbfe739403e button');\n",
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" document.querySelector('#df-9cecff8c-2f40-492c-b542-c46c563370d2 button');\n",
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" quickchartButtonEl.style.display =\n",
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" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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" })();\n",
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}
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},
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"metadata": {},
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"execution_count": 10
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"execution_count": 2
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}
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],
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"source": [
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},
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{
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"cell_type": "code",
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"execution_count": 26,
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"execution_count": 3,
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"metadata": {
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"id": "r5v_kGw6XXEg"
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},
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},
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{
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"cell_type": "code",
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"execution_count": 27,
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"execution_count": 4,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "XhSpBN94Xkur",
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"outputId": "0c7aa66d-399a-451d-dff3-4e65d8a4e0dd"
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"outputId": "96fdb237-23c7-412f-f198-6752e46673e1"
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},
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"outputs": [
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{
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},
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{
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"cell_type": "code",
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"execution_count": 28,
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"execution_count": 5,
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"metadata": {
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"id": "pTZ7q-2QXoR7"
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},
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},
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{
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"cell_type": "code",
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"execution_count": 29,
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"execution_count": 6,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "FjMZNw7ldVTK",
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"outputId": "7edcf6af-ad31-4b60-cc4e-d8095c1372f5"
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"outputId": "5ecea752-e59f-49ad-91a0-ba989e91aa5d"
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},
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"outputs": [
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{
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},
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{
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"cell_type": "code",
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"execution_count": 30,
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"execution_count": 7,
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"metadata": {
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"id": "xSjiM9cV9mBt"
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},
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"base_uri": "https://localhost:8080/"
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},
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"id": "oU8IcBKBAaV_",
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"outputId": "0095c6f0-5f25-449e-cc34-2d375fea44c3"
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},
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"execution_count": 33,
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"execution_count": 8,
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"outputs": [
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{
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"output_type": "stream",
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"base_uri": "https://localhost:8080/"
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},
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"id": "0L_2yGdNBHY4",
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"outputId": "8222f326-8e8d-487b-c99d-7393e5775eca"
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"outputId": "42ee4663-2c98-486e-8098-f5b37c72ae7f"
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},
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"execution_count": 36,
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"execution_count": 9,
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"outputs": [
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{
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"output_type": "stream",
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"metadata": {
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"id": "dnTN_LTrDYNy"
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},
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"execution_count": 37,
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"execution_count": 10,
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"outputs": []
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},
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{
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"base_uri": "https://localhost:8080/"
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},
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"id": "lO5jJUL4EzE7",
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"outputId": "92f7f130-2e57-4496-891c-c0fd0a40d910"
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"outputId": "41745a01-33f3-414f-baa3-f40af4e68112"
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},
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"execution_count": 38,
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"execution_count": 11,
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"outputs": [
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{
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"output_type": "stream",
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"base_uri": "https://localhost:8080/"
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},
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"id": "OndO0tmhEzIh",
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"outputId": "526732b0-f3c5-48ca-817e-6afbf5f1f3c7"
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"outputId": "87093176-13f4-4cd6-f18e-3d2a34c64fdc"
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},
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"execution_count": 39,
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"execution_count": 12,
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"outputs": [
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{
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"output_type": "stream",
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"base_uri": "https://localhost:8080/"
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},
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"id": "JiRhwGDkEzMb",
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"outputId": "1ce21167-1560-495c-d9d5-988c8de69fbb"
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"outputId": "ca8863d6-ad00-415c-faa7-641c7a40b745"
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},
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"execution_count": 40,
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"execution_count": 13,
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"outputs": [
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{
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"output_type": "stream",
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"base_uri": "https://localhost:8080/"
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},
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"id": "13ot0Ju6EzQB",
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"outputId": "3da34b0b-dc26-4204-d752-dd5bc73a3869"
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"outputId": "04d3ba80-f6bc-4357-fca7-1f176ecbb671"
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},
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"execution_count": 41,
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"execution_count": 14,
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"outputs": [
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{
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"output_type": "stream",
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]
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}
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]
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},
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{
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"cell_type": "code",
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"source": [
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"from sklearn.preprocessing import StandardScaler\n",
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"sc = StandardScaler()\n",
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"x_train[:, 3:] = sc.fit_transform(x_train[:, 3:])\n",
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"x_test[:, 3:] = sc.transform(x_test[:, 3:])"
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],
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"metadata": {
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"id": "bhNuC8NbrpbR"
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},
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"execution_count": 16,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"print(x_train)"
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],
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "fjvq3PZArpdp",
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"outputId": "0a2d6ed6-7241-4c48-e788-ba2d80a8980a"
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},
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"execution_count": 17,
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"[[0.0 0.0 1.0 -0.1915918438457856 -1.0781259408412427]\n",
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" [0.0 1.0 0.0 -0.014117293757057902 -0.07013167641635401]\n",
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" [1.0 0.0 0.0 0.5667085065333239 0.6335624327104546]\n",
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" [0.0 0.0 1.0 -0.3045301939022488 -0.30786617274297895]\n",
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" [0.0 0.0 1.0 -1.901801144700799 -1.4204636155515822]\n",
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" [1.0 0.0 0.0 1.1475343068237056 1.2326533634535488]\n",
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" [0.0 1.0 0.0 1.4379472069688966 1.5749910381638883]\n",
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" [1.0 0.0 0.0 -0.7401495441200352 -0.5646194287757336]]\n"
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]
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}
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]
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},
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{
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"cell_type": "code",
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"source": [
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"print(x_test)"
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],
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "HuVLefVPrpf9",
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"outputId": "9cdda02b-4b8c-4c8b-9fec-32176840cf3a"
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},
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"execution_count": 18,
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"[[0.0 1.0 0.0 30.0 54000.0]\n",
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" [1.0 0.0 0.0 37.0 67000.0]]\n"
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]
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}
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]
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},
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{
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"cell_type": "code",
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"source": [],
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"metadata": {
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"id": "zY-92wIurpjn"
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},
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"execution_count": null,
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"outputs": []
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}
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],
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"metadata": {

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