{
"cells": [
{
"cell_type": "code",
"execution_count": 195,
"metadata": {},
"outputs": [
{ Continue reading
Category: Programming
R Programming Task on Naive Bayes Classifier
#data
Universal_bank = read.csv(“UniversalBank.csv”, header = T)
dim(Universal_bank)
head(Universal_bank) Continue reading
Python Task on Island of Rats and Cats
from numpy import random
def get_rain():
if random.rand() < rain_chance:
return 0
return max(0, random.normal(rain_mean, rain_std, size=(1, 1))[0][0]) Continue reading
Python Task on War and Peace by Leo Tolstoy
#!/bin/python3
“””
Explain how your pseudo random numbers are produced.
– The pseudo random numbers without seed value. Will be take the nanosecond on posis system. Then move to text file base on position. So it will work.
– The pseudo rando number with seed value. Will be move to file with this position. That’s mean the random will be the same
“”” Continue reading
Python Task on Run-Length Encoding & Decoding
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <ctype.h>
/* Stores parameters that specify how to the program should behave. * Continue reading
Python Program on Guessing Game
import numpy as np
print('')
print("Enter two numbers, low then high.")
l = int(input("low = "))
h = int(input("high = "))
Continue reading
R Programming Task on Matrix
summary_statistics_A <- function(matrix){
vec = sort(as.vector(matrix))
len = length(vec)
if(isSymmetric(matrix) && is.numeric(matrix)){
min = vec[1]
Continue reading
Python Task on Pence Piece Shapes using Tegan the Turtle
from turtle import *
import random
if __name__ == ‘__main__’:
number_coins = int(input(‘Enter a number of coins: ‘)) Continue reading
Engineering Programming Task on EIT moodle
Q 1 – ANSWER :
int first, last;
first=1;
last=10;
for (i=first; i<last; i++)
{
} Continue reading
R Task on ANOVA Model
rm(list = ls())
options(warn = -1)
library(readxl)
## Reading the data from excel
Project_2_Data <- read_excel(“Stat 481 Project 2 Data.xls”)
str(Project_2_Data)
## Cleaning and attributing the dtaa
Project_2_Data$courses = as.factor(Project_2_Data$courses)
Project_2_Data$gender = as.factor(Project_2_Data$gender)
levels(Project_2_Data$gender) <- c(“Female”, “Male”)
levels(Project_2_Data$courses) <- c(“Algebra”, “Algebra&Geometry”, “Calculus”)
attach(Project_2_Data)
## Descriptives
library(ggplot2)
library(hrbrthemes)
library(dplyr)
library(tidyr)
library(viridis)
temp = aggregate(score~courses+gender, Project_2_Data, FUN = mean)
qqnorm(score)
ggplot(Project_2_Data, aes(x = score)) + geom_histogram()
summary(Project_2_Data)
p1 <- ggplot(data=Project_2_Data, aes(x=score, fill=courses)) + geom_density(adjust=1.5, alpha=.4) + theme_ipsum()
p2 <- ggplot(data=Project_2_Data, aes(x=score, fill=gender)) + geom_density(adjust=1.5, alpha=.4) + theme_ipsum()
## Model
## Test of normality and other assumptions
ks.test(score, pnorm, mean = mean(score), sd= sd(score))
bartlett.test(score~courses, data = Project_2_Data)
bartlett.test(score~gender, data = Project_2_Data)
## Linear model
model1 = anova(score ~ courses + gender, data = Project_2_Data)
model1
summary(model1)
## Post Hoc
library(DescTools)
PostHocTest(model1, method = “bonferroni”)
PostHocTest(model1, method = “hsd”)
C++ Programming Task – Pointers/Arrays
#include <iostream>
#include <string>
using namespace std;
int main()
{
int numItem; Continue reading
R Programming Task using the Data Analytics Approach
creditDF <- read.csv(“Downloads/Credit.csv”)
str(creditDF)
# Q1)
# Exploratory Data Analysis Continue reading
Database Task on Baby Names
— Query 1 —
SELECT
SUM(number) AS record_count
FROM
`bigquery-public-data.usa_names.usa_1910_2013` Continue reading
A SQL Task
---------------CREATE CUSTOMER CREATE TABLE CUSTOMER(CUSTOMERID INT NOT NULL PRIMARY KEY, CUSTOMERFIRST VARCHAR(50) NOT NULL, CUSTOMERLAST VARCHAR(50) NOT NULL , CUSTOMERSTREET VARCHAR(50) NOT NULL , Continue reading
Programming Task on Memoization in Scheme
#lang racket #| Problem 1 |# ; Define the Fibonacci function fib as usual (define (fib n) (if (<= n 2) 1 (+ (fib (- n 1)) (fib (- n 2))))) Continue reading