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Congratulations on finishing all three modules of this course. This week, you’ll work on your final assignment which will be graded by your peers.
This course introduced you to multiple data science tools, and in this final project you will use Jupyter Notebook, one of the easiest tools to share publicly.
Leveraging Jupyter Notebook on IBM Watson Studio, you will create your own Jupyter Notebook (in English) and share it via a public link.
Assignment Topic: You will create a Jupyter Notebook using IBM Watson Studio. You can choose any language you want (Python, R, or Scala)
You will create a Jupyter Notebook using IBM Watson Studio. You can choose any language you want (Python, R, or Scala). You will need to include a combination of markdown and code cells. You will likely need to use the Markdown cheatsheet to help you determine the appropriate syntax to style your markdown.
Guidelines for the submission:
Create your Jupyter Notebook on IBM Watson Studio.
Include at least 6 cells:
Submit:
The main grading criteria will be:
You will not be judged on:
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# \"My Jupyter Notebook on IBM Data Science Experience"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Rodrigo Orozco Hidalgo** \n",
"I'm currently a software engineering student!"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"*I am interested in data science because it's an unexploited field, and I can make quite a living from it.*"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### My code is supposed to run the fibonacci sequence"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1\n",
"1\n",
"2\n",
"3\n",
"5\n",
"8\n",
"13\n"
]
}
],
"source": [
"i = 0\n",
"j = 1\n",
"n = int \n",
"while(j<20):\n",
" print(j)\n",
" n = i\n",
" i = j\n",
" j = j + n\n",
"\n",
" "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"___\n",
"### 1. Assignment Topic: \n",
"Create a Jupyter Notebook using IBM Watson Studio. You can choose any language you want (Python, R, or Scala). You will need to include a combination of markdown and code cells. You will likely need to use the Markdown cheatsheet to help you determine the appropriate syntax to style your markdown.\n",
"___\n",
"\n",
"##### 2. _Guidelines for the submission_\n",
"\n",
"Create your Jupyter Notebook on IBM Watson Studio\n",
"Include at least 6 cells:\n",
"* Cell 1 (rendered as Markdown): The title should be \"My Jupyter Notebook on IBM Data Science Experience\", in H1 header styling. The title does not need to be centered.\n",
"* Cell 2 (rendered as Markdown): Your name, in bold characters. In the line below your name, write your current or desired occupation in regular font.\n",
"* Cell 3 (rendered as Markdown): In italic formatting, write one or two sentences about why you are interested in data science. For example, you can start your first sentence with \"I am interested in data science because ...\".\n",
"* Cell 4 (rendered as Markdown): In H3 header styling, explain in a short sentence what your code is supposed to do in Cell 5.\n",
"* Cell 5 (code cell): Your code, as described in Cell 4. It must be executed and must display an output. Try to keep the code simple (it can even be \"1 + 1\").\n",
"* Cell 6 (rendered as Markdown): Using Markdown or HTML, this cell must include at least 3 of the following: horizontal rule, bulleted list, numbered list, tables, hyperlinks, images, `code/syntax highlighting`, blocked quotes, ~~strikethrough~~.\n",
"\n",
"___\n",
">The following is uneeded by I wanted to practice. If you are into ships I present you Korrasami\n",
"___\n",
"\n",
"<font size=\"6\"> <center> <a href=\"https://shipping.fandom.com/wiki/Korrasami\">Korrasami</a> <font>\n",
"\n",
"___\n",
" \n",
""
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python",
"language": "python",
"name": "conda-env-python-py"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.7"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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