Nihal Saxena saxenanihal95

## search_engine.ipynb

      
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                saxenanihal95
                / search_engine.ipynb
            
            
              Created
              July 13, 2019 04:49
            
          
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## .ipynb
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Search Engine"
   ]
  },
  {

## gist:7f0ea623b94c8db0c0e4d3f7e5296774
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Search Engine"
   ]
  },
  {

## mahine learning
# columns with missing values
null_columns = dataset.columns[dataset.isnull().any()]

# count of missing rows in each columns
training_set[null_columns].isnull().sum()

# count of non empty rows in each columns
training_set[null_columns].count()

# columns with missing values
	{
	"cells": [
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"# Search Engine"
	]
	},
	{
	# columns with missing values
	null_columns = dataset.columns[dataset.isnull().any()]

	# count of missing rows in each columns
	training_set[null_columns].isnull().sum()

	# count of non empty rows in each columns
	training_set[null_columns].count()

	# columns with missing values