rishisidhu

public class Factory{
	private String SolidFood1;                               // Solid Food 1st Instance Variable
	private String SolidFood2;                               // Solid Food 2nd Instance Variable 
	private String LiquidFood1;                              // Liquid Food 3rd Instance Variable
	public Factory(){}                                       // 0-arg constructor (Not used)
	public Factory(String sf1, String sf2, String lf1){      // 3-arg constructor
		SolidFood1 		= sf1;
		SolidFood2	 	= sf2;
		LiquidFood1 	= lf1;
	}

rishisidhu

#Imports
import string
import random
import nltk
from nltk.tokenize import sent_tokenize, word_tokenize
from nltk.corpus import stopwords
from nltk.stem import PorterStemmer
from nltk.tokenize import PunktSentenceTokenizer
import sklearn
from sklearn.feature_extraction.text import TfidfVectorizer

rishisidhu

/**
*Base Class   : Book
*Author       : Rishi Sidhu
*Organization : AI Graduate
**/
public class Book
{
	public String author;                              
	public float costPrice;               
	public float salePrice;

rishisidhu

/**
*Sub Class    : EBook
*Author       : Rishi Sidhu
*Organization : AI Graduate
**/
public class EBook extends Book
{
	public String downloadSite;
	public int sizeMB;
	public EBook(String au, float cp, float sp, String tl, int pg, String ds, int sz){

rishisidhu

/**
*Test Class   : TestBook
*Author       : Rishi Sidhu
*Organization : AI Graduate
**/
public class TestBook
{
	public static void main(String[] args){                  // Main Method - Only this method gets executed
		//Create a Book object
		Book book1 = new Book("Gary Rich", 8.99f, 19.99f, "How to get rich", 100);   

rishisidhu

import java.util.Random;

public class Histogram {
	static int NUM_STUDENTS = 20000;
	static int HIGHEST_GRADE = 10;

	//Function to compute histogram faster O(N)
	public void getHistFast(int iArr[], int oArr[])
	{
		for(int i=0;i<iArr.length;i++)

rishisidhu

from sklearn.datasets import load_iris
from sklearn import tree
import numpy as np
from graphviz import Source

iris = load_iris()
print("Feature Names - ", iris.feature_names,"\n")
print(iris.target)
#Print the row 0,50 and 100 i.e. 1 example for each type
print("\nSetosa flower 1 - ",iris.data[0])

rishisidhu

a = 10    # Integer 
b = -9    # Integer can be negative 
c = 0b011 # Integer can be Binary 
d = 0o123 # Integer can be Octal 
e = 0x9AF # Integer can be Hexadecimal

print("Positive Integer = ",a, " | ", type(a)) 
print("Negative Integer = ",b, " | ", type(b)) 
print("Binary Integer = ",c, " | ", type(c)) 
print("Octal Integer = ",d, " | ", type(d)) 

rishisidhu

in1 = 1+2j            # Complex Number 
fl1 = 0.78            # Float 
fl2 = 2.6e-2          # Float with scientific notation. e means 10^ 
fl3 = 1.8*10**308 +1  # One greater than the maximum float 
bl1 = True            # Boolean True 
bl2 = False           # Boolean False 
st1 = "Hello World!"  # String 
bt1 = b"hola"         # Byte

rishisidhu

#Lists 
l2 = [4,1,3,9,7] 
l3 = ['a','ab', 'abc','ab', 'ab'] 

#List Methods
l2.sort()       # Sort 
l2.append(12)   # Add an element at the end 
sum(l2)         # Sum all the elements 
max(l2)         # Find the maximum element 
min(l2)         # Find the minimum element