Publications by Mohammed Rahman

Data Science Skills

17.03.2024

Project Description The goal of this project is to find most valuable data science skills. I collected datasets from kaggle.com and uploaded it into my github and to MySql database. I will load the dataset into MySQL and find the top 15 Data Scientist Skill, Data Analysts and Data engineer. I will also try to find data science skills across dif...

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Data-624 Homework 6

16.03.2024

Question 9.1: Figure 9.32 shows the ACFs for 36 random numbers, 360 random numbers and 1,000 random numbers. Explain the differences among these figures. Do they all indicate that the data are white noise? Figure 9.32: Left: ACF for a white noise series of 36 numbers. Middle: ACF for a white noise series of 360 numbers. Right: ACF for a white...

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Data 607 - Week 7

10.03.2024

Selecting Books I’m interested in Artificial Intelligence. Here are the three books that I chose: Title: “Artificial Intelligence: A Modern Approach” Authors: Stuart Russell, Peter Norvig Attributes: Publication date: December 11, 2009; Publisher: Pearson Education Title: “Deep Learning” Author: Ian Goodfellow, Yoshua Bengio, Aaron Cou...

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Data 624 - Homework 5

03.03.2024

#library library(fpp3) ## ── Attaching packages ────────────────────────────────────────────── fpp3 0.5 ── ## ✔ tibble 3.2.1 ✔ tsibble 1.1.4 ## ✔ dplyr 1.1.4 ✔ tsibbledata 0.4.1 ## ✔ tidyr 1.3.1 ✔ feast...

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Data 607 - Project 2

02.03.2024

I chose to use my own dataset for this assignment. Let’s simulate the data: set.seed(123) # Create sample data df <- data.frame( id = 1:5, gender = sample(c("Male", "Female"), 5, replace = TRUE), age = sample(18:65, 5, replace = TRUE), weight = sample(120:220, 5, replace = TRUE), height = sample(150:200, 5, replace = TRUE), s...

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Data 624 - Homework 4

25.02.2024

library(mlbench) ## Warning: package 'mlbench' was built under R version 4.3.2 library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union library(ggplot2) library(gridEx...

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Week 5 - Data 607

24.02.2024

Load libraries to use: library(dplyr) library(tidyr) library(ggplot2) Task 1 Task: Create a .CSV file (or optionally, a MySQL database!) that includes all of the information above. You’re encouraged to use a “wide” structure similar to how the information appears above, so that you can practice tidying and transformations as described b...

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Data 607 - Project 1

17.02.2024

Load the libraries to use: library(readr) library(stringr) # Read the file as a string: tournament_str <- read_file("tournamentinfo.txt") # split at end of line and trim trailing white space: tournament_split <- strsplit(tournament_str, "\n")[[1]] |> trimws() # remove row separator: sep <- "--------------------------------------------------...

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Data 624 - Homework 3

17.02.2024

#Loading required R package and datasets: library(fpp3) ## Warning: package 'fpp3' was built under R version 4.3.2 ## ── Attaching packages ────────────────────────────────────────────── fpp3 0.5 ── ## ✔ tibble 3.2.1 ✔ tsibble 1.1.4...

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Week 2 - Data 607

13.02.2024

Assignment Two - R and SQL Part 1: Build Table • Choose six recent popular movies. • Ask at least five people that you know (friends, family, classmates, imaginary friends if necessary) to rate each of these movies that they have seen on a scale of 1 to 5. Part 2: Store data in SQL database • Take the results (observations) and store them i...

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