Update GridSearchCV and RandomSearchCV.ipynb

Author: bansalkanav

Module 4 - Machine Learning/04. Supervised ML Algorithms/10. Hyperparameter Tuning/code/GridSearchCV and RandomSearchCV.ipynb

@@ -2,13 +2,15 @@
  "cells": [
  {
  "cell_type": "markdown",
+ "id": "958937cd",
  "metadata": {},
  "source": [
  "# Overfitting vs Underfitting"
  ]
  },
  {
  "cell_type": "markdown",
+ "id": "36c50fd2",
  "metadata": {},
  "source": [
  "## Occam's Razor - \n",
@@ -59,6 +61,7 @@
  },
  {
  "cell_type": "markdown",
+ "id": "443deda5",
  "metadata": {},
  "source": [
  "## Hyperparameter Tuning"
@@ -67,6 +70,7 @@
  {
  "cell_type": "code",
  "execution_count": 1,
+ "id": "70c1ebca",
  "metadata": {},
  "outputs": [],
  "source": [
@@ -80,6 +84,7 @@
  {
  "cell_type": "code",
  "execution_count": 2,
+ "id": "9f788284",
  "metadata": {},
  "outputs": [],
  "source": [
@@ -89,6 +94,7 @@
  {
  "cell_type": "code",
  "execution_count": 3,
+ "id": "34b9adb3",
  "metadata": {},
  "outputs": [],
  "source": [
@@ -99,6 +105,7 @@
  {
  "cell_type": "code",
  "execution_count": 4,
+ "id": "952a3f05",
  "metadata": {},
  "outputs": [],
  "source": [
@@ -111,6 +118,7 @@
  {
  "cell_type": "code",
  "execution_count": 5,
+ "id": "15715f74",
  "metadata": {},
  "outputs": [
  {
@@ -167,6 +175,7 @@
  {
  "cell_type": "code",
  "execution_count": 6,
+ "id": "0861d9a0",
  "metadata": {},
  "outputs": [
  {
@@ -193,6 +202,7 @@
  {
  "cell_type": "code",
  "execution_count": 7,
+ "id": "d5323854",
  "metadata": {},
  "outputs": [
  {
@@ -249,6 +259,7 @@
  {
  "cell_type": "code",
  "execution_count": 8,
+ "id": "c30e1761",
  "metadata": {},
  "outputs": [
  {
@@ -274,13 +285,15 @@
  },
  {
  "cell_type": "markdown",
+ "id": "fd3dcf13",
  "metadata": {},
  "source": [
  "## Cross Validation"
  ]
  },
  {
  "cell_type": "markdown",
+ "id": "eb5c347a",
  "metadata": {},
  "source": [
  "### GridSearchCV"
@@ -289,6 +302,7 @@
  {
  "cell_type": "code",
  "execution_count": 9,
+ "id": "00a36166",
  "metadata": {},
  "outputs": [],
  "source": [
@@ -299,6 +313,7 @@
  {
  "cell_type": "code",
  "execution_count": 10,
+ "id": "5231f7f8",
  "metadata": {},
  "outputs": [],
  "source": [
@@ -308,6 +323,7 @@
  {
  "cell_type": "code",
  "execution_count": 11,
+ "id": "04d0ec2b",
  "metadata": {
  "scrolled": false
  },
@@ -360,6 +376,7 @@
  {
  "cell_type": "code",
  "execution_count": 12,
+ "id": "02c690a2",
  "metadata": {},
  "outputs": [
  {
@@ -386,6 +403,7 @@
  {
  "cell_type": "code",
  "execution_count": 13,
+ "id": "05c90075",
  "metadata": {},
  "outputs": [
  {
@@ -618,6 +636,7 @@
  {
  "cell_type": "code",
  "execution_count": 14,
+ "id": "cad2c588",
  "metadata": {},
  "outputs": [
  {
@@ -653,6 +672,7 @@
  },
  {
  "cell_type": "markdown",
+ "id": "6c22667a",
  "metadata": {},
  "source": [
  "### RandomizedSearchCV"
@@ -661,6 +681,7 @@
  {
  "cell_type": "code",
  "execution_count": 15,
+ "id": "71f2d2c5",
  "metadata": {
  "scrolled": false
  },
@@ -716,6 +737,7 @@
  {
  "cell_type": "code",
  "execution_count": 17,
+ "id": "440082db",
  "metadata": {},
  "outputs": [
  {
@@ -741,6 +763,7 @@
  },
  {
  "cell_type": "markdown",
+ "id": "14d7b308",
  "metadata": {},
  "source": [
  "### Support Vector Machines"
@@ -749,6 +772,7 @@
  {
  "cell_type": "code",
  "execution_count": 18,
+ "id": "dd60e1d3",
  "metadata": {},
  "outputs": [],
  "source": [
@@ -758,6 +782,7 @@
  {
  "cell_type": "code",
  "execution_count": 19,
+ "id": "994ebd3e",
  "metadata": {},
  "outputs": [
  {
@@ -810,6 +835,7 @@
  {
  "cell_type": "code",
  "execution_count": 20,
+ "id": "973e2837",
  "metadata": {},
  "outputs": [
  {
@@ -836,7 +862,7 @@
  ],
  "metadata": {
  "kernelspec": {
- "display_name": "Python 3",
+ "display_name": "Python 3 (ipykernel)",
  "language": "python",
  "name": "python3"
  },
@@ -850,7 +876,7 @@
  "name": "python",
  "nbconvert_exporter": "python",
  "pygments_lexer": "ipython3",
- "version": "3.8.5"
+ "version": "3.9.12"
  }
  },
  "nbformat": 4,