FlossyM

This data set contains census data from the Los Angeles and Long Beach areas for the years 1970, 1980, and 1990.

R studio and packages used:
 
Plotly : Used for plots and graphical visualization
Mlr :  Package for machine learning in R
Data : Used to form tabular and representation of the dataset
Caret : Classification and regression training library
 

FlossyM

#include <iostream>

using namespace std;

class cell
{ int info;
 cell *next;
 cell(int i) {info = i; next = this;}
 cell(int i, cell *n) {info = i; next = n;}
 friend class NC_list;

FlossyM

	// Name : Flossy Priya Mascarenhas
	/*The below program demonstrate the use of  unordered associative container called "unordered_map"
	and the use of a sequence container called "vector".
	*/
	/*unordered_map:the elements in the unordered_map are not ordered. This is due to the use of hashing to store objects.
	*/
	/*vector: vector data structure is able to quickly and dynamically allocate the necessary memory needed for specific 
	data storage. Elements of a vector may be referenced in the same manner as elements of arrays.*/
	
		#include <iostream>

FlossyM

		/*
		Name :Flossy Priya Mascarenhas
		
		Description: Below program in C++ acts as an interpreter of a mini-language.
		Language  supports variable declarations and three types of statements like                        assignment statement, input statement and output statement.
		Interpreter also checks for possible Syntax, Symantic and Lexical Errors.
		*/
		
		#include <iostream>
		#include <stdlib.h>

FlossyM

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.IO;

namespace Ngram
{
    class Program
    {