Raghav Maheshwari raghavddps2

## vowelBefore.java
import java.util.*;
public class vowelBefore {

    public static void main(String[] args) {
        //Only lower case letters.
        //Not a good solution, sliding window should be used but as  1 marks and a hurry, so can do
        StringBuffer sb = new StringBuffer("nitin");
        StringBuffer vowel = new StringBuffer();
        StringBuffer consonent = new StringBuffer();

## OctalWalaQues.java
import java.util.*;
public class Ques1 {
    static String OctToBin(String octnum)
    {
        long i = 0;

        String binary = "";

        while (i<octnum.length()) {


## WordPuzzleQues.java
import java.util.*;
public class WordPuzzle {
    public static void main(String[] args) {
        int n = 3;
        String s = "apple";
        char grid[][] = {{'p','p','e'},{'l','a','d'},{'e','b','z'}};
        System.out.println(exist(grid,s));
    }
    public static boolean exist(char[][] board, String word) {
        int m = board.length;

## BasicPythonRefresher.py
from functools import reduce
# Python Lists
a = [1,2,3,4,5]
a.append(10) # Adds to the list
a.remove(1) #removes the specified element
a.insert(1,20) #Inserts at specified index
len(a) #Gives the num of elements in teh array
a.pop() #Gives the last element of the array.
a.reverse() #reverses the array
a.sort() #Sorts the array in ascending order

## TwilioApp.py
import email
import getpass, imaplib
import os
import sys
import threading
import json
import time
import emoji
import pymysql
from twilio.twiml.messaging_response import MessagingResponse

## app.py
from flask import Flask,request
app = Flask(__name__)


@app.route('/')
def hello():
    review = request.args['review']
    print(review)
    response = {
        "tags":["Open At Night","Bad Staff","Great to party"],

## index.html
<html>
    <head>
        <title>My Farmers</title>
        <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1">
    <link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.1.3/css/bootstrap.min.css" integrity="sha384-MCw98/SFnGE8fJT3GXwEOngsV7Zt27NXFoaoApmYm81iuXoPkFOJwJ8ERdknLPMO" crossorigin="anonymous">
    <link rel="stylesheet" type="text/css" href="./dash.css">
    <link href="https://stackpath.bootstrapcdn.com/font-awesome/4.7.0/css/font-awesome.min.css" rel="stylesheet" integrity="sha384-wvfXpqpZZVQGK6TAh5PVlGOfQNHSoD2xbE+QkPxCAFlNEevoEH3Sl0sibVcOQVnN" crossorigin="anonymous">
    </head>
    <body>

## getFeattures
from sklearn.feature_selection import SelectKBest, chi2
X_new = SelectKBest(chi2, k=3).fit_transform(X,d)
X_new.shape
features_columns = df.columns

fs = SelectKBest(k=5)
fs.fit(X,d)
print((fs.get_support(),features_columns))

## getFeattures
from sklearn.feature_selection import SelectKBest, chi2
X_new = SelectKBest(chi2, k=3).fit_transform(X,d)
X_new.shape
features_columns = df.columns

fs = SelectKBest(k=5)
fs.fit(X,d)
print((fs.get_support(),features_columns))

## gist:83bf98911df52ea3abd09e4207f39e24
from sklearn.feature_selection import SelectKBest, chi2
X_new = SelectKBest(chi2, k=3).fit_transform(X,d)
X_new.shape
feature_1 = X_new[:,:1]
feature_2 = X_new[:,1:2]
feature_3 = X_new[:,2:3]
diagnosis = df['diagnosis'].to_numpy()
	import java.util.*;
	public class vowelBefore {

	public static void main(String[] args) {
	//Only lower case letters.
	//Not a good solution, sliding window should be used but as 1 marks and a hurry, so can do
	StringBuffer sb = new StringBuffer("nitin");
	StringBuffer vowel = new StringBuffer();
	StringBuffer consonent = new StringBuffer();
	import java.util.*;
	public class Ques1 {
	static String OctToBin(String octnum)
	{
	long i = 0;

	String binary = "";

	while (i<octnum.length()) {
	import java.util.*;
	public class WordPuzzle {
	public static void main(String[] args) {
	int n = 3;
	String s = "apple";
	char grid[][] = {{'p','p','e'},{'l','a','d'},{'e','b','z'}};
	System.out.println(exist(grid,s));
	}
	public static boolean exist(char[][] board, String word) {
	int m = board.length;
	from functools import reduce
	# Python Lists
	a = [1,2,3,4,5]
	a.append(10) # Adds to the list
	a.remove(1) #removes the specified element
	a.insert(1,20) #Inserts at specified index
	len(a) #Gives the num of elements in teh array
	a.pop() #Gives the last element of the array.
	a.reverse() #reverses the array
	a.sort() #Sorts the array in ascending order
	import email
	import getpass, imaplib
	import os
	import sys
	import threading
	import json
	import time
	import emoji
	import pymysql
	from twilio.twiml.messaging_response import MessagingResponse
	from flask import Flask,request
	app = Flask(__name__)


	@app.route('/')
	def hello():
	review = request.args['review']
	print(review)
	response = {
	"tags":["Open At Night","Bad Staff","Great to party"],
	<html>
	<head>
	<title>My Farmers</title>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1">
	<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.1.3/css/bootstrap.min.css" integrity="sha384-MCw98/SFnGE8fJT3GXwEOngsV7Zt27NXFoaoApmYm81iuXoPkFOJwJ8ERdknLPMO" crossorigin="anonymous">
	<link rel="stylesheet" type="text/css" href="./dash.css">
	<link href="https://stackpath.bootstrapcdn.com/font-awesome/4.7.0/css/font-awesome.min.css" rel="stylesheet" integrity="sha384-wvfXpqpZZVQGK6TAh5PVlGOfQNHSoD2xbE+QkPxCAFlNEevoEH3Sl0sibVcOQVnN" crossorigin="anonymous">
	</head>
	<body>
	from sklearn.feature_selection import SelectKBest, chi2
	X_new = SelectKBest(chi2, k=3).fit_transform(X,d)
	X_new.shape
	features_columns = df.columns

	fs = SelectKBest(k=5)
	fs.fit(X,d)
	print((fs.get_support(),features_columns))