feat: Add more video challenges (#38598)
Co-authored-by: Tom <20648924+moT01@users.noreply.github.com>
This commit is contained in:
Beau Carnes
committed by
Mrugesh Mohapatra
Mrugesh Mohapatra
parent
cb88dcf1e6
commit
03c9e47be9
@ -0,0 +1,8 @@
|
||||
---
|
||||
title: Introduction to the Data Analysis with Python Course Lectures
|
||||
block: Data Analysis with Python Course
|
||||
superBlock: Data Analysis with Python
|
||||
---
|
||||
## Introduction to the Data Analysis with Python Course Challenges
|
||||
|
||||
<dfn>Data Analysis with Python Course</dfn> Placeholder Introduction.
|
||||
@ -0,0 +1,8 @@
|
||||
---
|
||||
title: Introduction to the Numpy Lectures
|
||||
block: Numpy
|
||||
superBlock: Data Analysis with Python
|
||||
---
|
||||
## Introduction to the Numpy Challenges
|
||||
|
||||
<dfn>Numpy</dfn> Placeholder Introduction.
|
||||
@ -0,0 +1,8 @@
|
||||
---
|
||||
title: Introduction to the How Neural Networks Work Lectures
|
||||
block: How Neural Networks Work
|
||||
superBlock: Data Analysis with Python
|
||||
---
|
||||
## Introduction to the How Neural Networks Work Challenges
|
||||
|
||||
<dfn>How Neural Networks Work</dfn> Placeholder Introduction.
|
||||
@ -1,7 +1,7 @@
|
||||
{
|
||||
"name": "Data Analysis with Python Projects",
|
||||
"dashedName": "data-analysis-with-python-projects",
|
||||
"order": 1,
|
||||
"order": 3,
|
||||
"time": "150 hours",
|
||||
"superBlock": "data-analysis-with-python",
|
||||
"superOrder": 8,
|
||||
|
||||
@ -0,0 +1,126 @@
|
||||
{
|
||||
"name": "Data Analysis with Python Course",
|
||||
"dashedName": "lectures-data-analysis-with-python",
|
||||
"order": 1,
|
||||
"time": "15 hours",
|
||||
"template": "",
|
||||
"required": [],
|
||||
"superBlock": "data-analysis-with-python",
|
||||
"superOrder": 8,
|
||||
"challengeOrder": [
|
||||
[
|
||||
"5e9a093a74c4063ca6f7c14c",
|
||||
"Introduction to Data Analysis"
|
||||
],
|
||||
[
|
||||
"5e9a093a74c4063ca6f7c14d",
|
||||
"Data Analysis Example A"
|
||||
],
|
||||
[
|
||||
"5e9a093a74c4063ca6f7c14e",
|
||||
"Data Analysis Example B"
|
||||
],
|
||||
[
|
||||
"5e9a093a74c4063ca6f7c14f",
|
||||
"How to use Jupyter Notebooks Intro"
|
||||
],
|
||||
[
|
||||
"5e9a093a74c4063ca6f7c150",
|
||||
"upyter Notebooks Cells"
|
||||
],
|
||||
[
|
||||
"5e9a093a74c4063ca6f7c151",
|
||||
"Jupyter Notebooks Importing and Exporting Data"
|
||||
],
|
||||
[
|
||||
"5e9a093a74c4063ca6f7c152",
|
||||
"Numpy Introduction A"
|
||||
],
|
||||
[
|
||||
"5e9a093a74c4063ca6f7c153",
|
||||
"Numpy Introduction B"
|
||||
],
|
||||
[
|
||||
"5e9a093a74c4063ca6f7c154",
|
||||
"Numpy Arrays"
|
||||
],
|
||||
[
|
||||
"5e9a093a74c4063ca6f7c155",
|
||||
"Numpy Operations"
|
||||
],
|
||||
[
|
||||
"5e9a093a74c4063ca6f7c156",
|
||||
"Numpy Boolean Arrays"
|
||||
],
|
||||
[
|
||||
"5e9a093a74c4063ca6f7c157",
|
||||
"Numpy Algebra and Size"
|
||||
],
|
||||
[
|
||||
"5e9a093a74c4063ca6f7c158",
|
||||
"Pandas Introduction"
|
||||
],
|
||||
[
|
||||
"5e9a093a74c4063ca6f7c159",
|
||||
"Pandas Indexing and Conditional Selection"
|
||||
],
|
||||
[
|
||||
"5e9a093a74c4063ca6f7c15a",
|
||||
"Pandas DataFrames"
|
||||
],
|
||||
[
|
||||
"5e9a093a74c4063ca6f7c15b",
|
||||
"Pandas Condtitional Selection and Modifying DataFrames"
|
||||
],
|
||||
[
|
||||
"5e9a093a74c4063ca6f7c15c",
|
||||
"Pandas Creating Columns"
|
||||
],
|
||||
[
|
||||
"5e9a093a74c4063ca6f7c15d",
|
||||
"Data Cleaning Introduction"
|
||||
],
|
||||
[
|
||||
"5e9a093a74c4063ca6f7c15e",
|
||||
"Data Cleaning with DataFrames"
|
||||
],
|
||||
[
|
||||
"5e9a093a74c4063ca6f7c15f",
|
||||
"Data Cleaning Duplicates"
|
||||
],
|
||||
[
|
||||
"5e9a093a74c4063ca6f7c160",
|
||||
"Data Cleaning and Visualizations"
|
||||
],
|
||||
[
|
||||
"5e9a093a74c4063ca6f7c161",
|
||||
"Reading Data Introduction"
|
||||
],
|
||||
[
|
||||
"5e9a093a74c4063ca6f7c162",
|
||||
"Reading Data CSV and TXT"
|
||||
],
|
||||
[
|
||||
"5e9a093a74c4063ca6f7c163",
|
||||
"Reading Data from Databases"
|
||||
],
|
||||
[
|
||||
"5e9a093a74c4063ca6f7c164",
|
||||
"Parsing HTML and Saving Data"
|
||||
],
|
||||
[
|
||||
"5e9a093a74c4063ca6f7c165",
|
||||
"Python Introduction"
|
||||
],
|
||||
[
|
||||
"5e9a093a74c4063ca6f7c166",
|
||||
"Python Functions and Collections"
|
||||
],
|
||||
[
|
||||
"5e9a093a74c4063ca6f7c167",
|
||||
"Python Iteration and Modules"
|
||||
]
|
||||
],
|
||||
"helpRoom": "Help",
|
||||
"fileName": "11-data-analysis-with-python/lectures-data-analysis-with-python.json"
|
||||
}
|
||||
@ -0,0 +1,30 @@
|
||||
{
|
||||
"name": "How Neural Networks Work",
|
||||
"dashedName": "lectures-how-neural-networks-work",
|
||||
"order": 2,
|
||||
"time": "10 hours",
|
||||
"template": "",
|
||||
"required": [],
|
||||
"superBlock": "machine-learning-with-python",
|
||||
"superOrder": 10,
|
||||
"challengeOrder": [
|
||||
[
|
||||
"5e9a0e9ef99a403d019610ca",
|
||||
"How Deep Neural Networks Work"
|
||||
],
|
||||
[
|
||||
"5e9a0e9ef99a403d019610cb",
|
||||
"Recurrent Neural Networks RNN and Long Short Term Memory LSTM"
|
||||
],
|
||||
[
|
||||
"5e9a0e9ef99a403d019610cc",
|
||||
"Deep Learning Demystified"
|
||||
],
|
||||
[
|
||||
"5e9a0e9ef99a403d019610cd",
|
||||
"How Convolutional Neural Networks work"
|
||||
]
|
||||
],
|
||||
"helpRoom": "Help",
|
||||
"fileName": "11-machine-learning-with-python/lectures-how-neural-networks-work.json"
|
||||
}
|
||||
50
curriculum/challenges/_meta/lectures-numpy/meta.json
Normal file
50
curriculum/challenges/_meta/lectures-numpy/meta.json
Normal file
@ -0,0 +1,50 @@
|
||||
{
|
||||
"name": "Numpy",
|
||||
"dashedName": "lectures-numpy",
|
||||
"order": 2,
|
||||
"time": "5 hours",
|
||||
"template": "",
|
||||
"required": [],
|
||||
"superBlock": "data-analysis-with-python",
|
||||
"superOrder": 8,
|
||||
"challengeOrder": [
|
||||
[
|
||||
"5e9a0a8e09c5df3cc3600ed2",
|
||||
"What is NumPy"
|
||||
],
|
||||
[
|
||||
"5e9a0a8e09c5df3cc3600ed3",
|
||||
"Basics of Numpy"
|
||||
],
|
||||
[
|
||||
"5e9a0a8e09c5df3cc3600ed4",
|
||||
"Accessing and Changing Elements, Rows, Columns"
|
||||
],
|
||||
[
|
||||
"5e9a0a8e09c5df3cc3600ed5",
|
||||
"Initializing Different Arrays"
|
||||
],
|
||||
[
|
||||
"5e9a0a8e09c5df3cc3600ed6",
|
||||
"Initialize Array Problem"
|
||||
],
|
||||
[
|
||||
"5e9a0a8e09c5df3cc3600ed7",
|
||||
"Copying Arrays Warning"
|
||||
],
|
||||
[
|
||||
"5e9a0a8e09c5df3cc3600ed8",
|
||||
"Mathematics"
|
||||
],
|
||||
[
|
||||
"5e9a0a8e09c5df3cc3600ed9",
|
||||
"Reorganizing Arrays"
|
||||
],
|
||||
[
|
||||
"5e9a0a8e09c5df3cc3600eda",
|
||||
"Loading Data and Advanced Indexing"
|
||||
]
|
||||
],
|
||||
"helpRoom": "Help",
|
||||
"fileName": "11-data-analysis-with-python/lectures-numpy.json"
|
||||
}
|
||||
@ -1,7 +1,7 @@
|
||||
{
|
||||
"name": "Machine Learning with Python Projects",
|
||||
"dashedName": "machine-learning-with-python-projects",
|
||||
"order": 2,
|
||||
"order": 3,
|
||||
"time": "150 hours",
|
||||
"superBlock": "machine-learning-with-python",
|
||||
"superOrder": 10,
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c14d
|
||||
title: Data Analysis Example A
|
||||
challengeType: 11
|
||||
videoId: nVAaxZ34khk
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c14e
|
||||
title: Data Analysis Example B
|
||||
challengeType: 11
|
||||
videoId: 0kJz0q0pvgQ
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c160
|
||||
title: Data Cleaning and Visualizations
|
||||
challengeType: 11
|
||||
videoId: mHjxzFS5_Z0
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c15f
|
||||
title: Data Cleaning Duplicates
|
||||
challengeType: 11
|
||||
videoId: kj7QqjXhH6A
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c15d
|
||||
title: Data Cleaning Introduction
|
||||
challengeType: 11
|
||||
videoId: ovYNhnltVxY
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c15e
|
||||
title: Data Cleaning with DataFrames
|
||||
challengeType: 11
|
||||
videoId: sTMN_pdI6S0
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c14f
|
||||
title: How to use Jupyter Notebooks Intro
|
||||
challengeType: 11
|
||||
videoId: h8caJq2Bb9w
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c14c
|
||||
title: Introduction to Data Analysis
|
||||
challengeType: 11
|
||||
videoId: VJrP2FUzKP0
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c151
|
||||
title: Jupyter Notebooks Importing and Exporting Data
|
||||
challengeType: 11
|
||||
videoId: k1msxD3JIxE
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c157
|
||||
title: Numpy Algebra and Size
|
||||
challengeType: 11
|
||||
videoId: XAT97YLOKD8
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c154
|
||||
title: Numpy Arrays
|
||||
challengeType: 11
|
||||
videoId: VDYVFHBL1AM
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c156
|
||||
title: Numpy Boolean Arrays
|
||||
challengeType: 11
|
||||
videoId: N1ttsMmcVMM
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c152
|
||||
title: Numpy Introduction A
|
||||
challengeType: 11
|
||||
videoId: P-JjV6GBCmk
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c153
|
||||
title: Numpy Introduction B
|
||||
challengeType: 11
|
||||
videoId: YIqgrNLAZkA
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c155
|
||||
title: Numpy Operations
|
||||
challengeType: 11
|
||||
videoId: eqSVcJbaPdk
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c15b
|
||||
title: Pandas Condtitional Selection and Modifying DataFrames
|
||||
challengeType: 11
|
||||
videoId: BFlH0fN5xRQ
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c15c
|
||||
title: Pandas Creating Columns
|
||||
challengeType: 11
|
||||
videoId: _sSo2XZoB3E
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c15a
|
||||
title: Pandas DataFrames
|
||||
challengeType: 11
|
||||
videoId: 7SgFBYXaiH0
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c159
|
||||
title: Pandas Indexing and Conditional Selection
|
||||
challengeType: 11
|
||||
videoId: -ZOrgV_aA9A
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c158
|
||||
title: Pandas Introduction
|
||||
challengeType: 11
|
||||
videoId: 0xACW-8cZU0
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c164
|
||||
title: Parsing HTML and Saving Data
|
||||
challengeType: 11
|
||||
videoId: bJaqnTWQmb0
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c166
|
||||
title: Python Functions and Collections
|
||||
challengeType: 11
|
||||
videoId: NzpU17ZVlUw
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c165
|
||||
title: Python Introduction
|
||||
challengeType: 11
|
||||
videoId: PrQV9JkLhb4
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c167
|
||||
title: Python Iteration and Modules
|
||||
challengeType: 11
|
||||
videoId: XzosGWLafrY
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c162
|
||||
title: Reading Data CSV and TXT
|
||||
challengeType: 11
|
||||
videoId: ViGEv0zOzUk
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c163
|
||||
title: Reading Data from Databases
|
||||
challengeType: 11
|
||||
videoId: MtgXS1MofRw
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c161
|
||||
title: Reading Data Introduction
|
||||
challengeType: 11
|
||||
videoId: cDnt02BcHng
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c150
|
||||
title: upyter Notebooks Cells
|
||||
challengeType: 11
|
||||
videoId: 5PPegAs9aLA
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a0a8e09c5df3cc3600ed4
|
||||
title: Accessing and Changing Elements, Rows, Columns
|
||||
challengeType: 11
|
||||
videoId: v-7Y7koJ_N0
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a0a8e09c5df3cc3600ed3
|
||||
title: Basics of Numpy
|
||||
challengeType: 11
|
||||
videoId: f9QrZrKQMLI
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a0a8e09c5df3cc3600ed7
|
||||
title: Copying Arrays Warning
|
||||
challengeType: 11
|
||||
videoId: iIoQ0_L0GvA
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a0a8e09c5df3cc3600ed6
|
||||
title: Initialize Array Problem
|
||||
challengeType: 11
|
||||
videoId: 0jGfH8BPfOk
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a0a8e09c5df3cc3600ed5
|
||||
title: Initializing Different Arrays
|
||||
challengeType: 11
|
||||
videoId: CEykdsKT4U4
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a0a8e09c5df3cc3600eda
|
||||
title: Loading Data and Advanced Indexing
|
||||
challengeType: 11
|
||||
videoId: tUdBZ7pF8Jg
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a0a8e09c5df3cc3600ed8
|
||||
title: Mathematics
|
||||
challengeType: 11
|
||||
videoId: 7txegvyhtVk
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a0a8e09c5df3cc3600ed9
|
||||
title: Reorganizing Arrays
|
||||
challengeType: 11
|
||||
videoId: VNWAQbEM-C8
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a0a8e09c5df3cc3600ed2
|
||||
title: What is NumPy
|
||||
challengeType: 11
|
||||
videoId: 5Nwfs5Ej85Q
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -1,50 +0,0 @@
|
||||
---
|
||||
id: 5e6a54a558d3af90110a60a0
|
||||
title: Introduction A
|
||||
challengeType: 10
|
||||
isRequired: true
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
In this challenge you must analyze demographic data using Pandas. You are given a dataset of demographic data that was extracted from the 1994 Census database.
|
||||
|
||||
You can access <a href='https://repl.it/@freeCodeCamp/fcc-demographic-data-analyzer' target='_blank'>the full project description and starter code on repl.it</a>.
|
||||
|
||||
After going to that link, fork the project. Once you complete the project based on the instructions in 'README.md', submit your project link below.
|
||||
|
||||
We are still developing the interactive instructional part of the data analysis with Python curriculum. For now, you will have to use other resources to learn how to pass this challenge.
|
||||
</section>
|
||||
|
||||
## Instructions
|
||||
<section id='instructions'>
|
||||
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
tests:
|
||||
- text: 'It should pass all Python tests.'
|
||||
testString: ''
|
||||
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
## Challenge Seed
|
||||
<section id='challengeSeed'>
|
||||
|
||||
</section>
|
||||
|
||||
## Solution
|
||||
<section id='solution'>
|
||||
|
||||
```py
|
||||
# Python challenges don't need solutions,
|
||||
# because they would need to be tested against a full working project.
|
||||
# Please check our contributing guidelines to learn more.
|
||||
```
|
||||
|
||||
</section>
|
||||
@ -1,50 +0,0 @@
|
||||
---
|
||||
id: 5e6a54af58d3af90110a60a1
|
||||
title: Introduction B
|
||||
challengeType: 10
|
||||
isRequired: true
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
In this challenge you must analyze demographic data using Pandas. You are given a dataset of demographic data that was extracted from the 1994 Census database.
|
||||
|
||||
You can access <a href='https://repl.it/@freeCodeCamp/fcc-demographic-data-analyzer' target='_blank'>the full project description and starter code on repl.it</a>.
|
||||
|
||||
After going to that link, fork the project. Once you complete the project based on the instructions in 'README.md', submit your project link below.
|
||||
|
||||
We are still developing the interactive instructional part of the data analysis with Python curriculum. For now, you will have to use other resources to learn how to pass this challenge.
|
||||
</section>
|
||||
|
||||
## Instructions
|
||||
<section id='instructions'>
|
||||
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
tests:
|
||||
- text: 'It should pass all Python tests.'
|
||||
testString: ''
|
||||
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
## Challenge Seed
|
||||
<section id='challengeSeed'>
|
||||
|
||||
</section>
|
||||
|
||||
## Solution
|
||||
<section id='solution'>
|
||||
|
||||
```py
|
||||
# Python challenges don't need solutions,
|
||||
# because they would need to be tested against a full working project.
|
||||
# Please check our contributing guidelines to learn more.
|
||||
```
|
||||
|
||||
</section>
|
||||
@ -1,50 +0,0 @@
|
||||
---
|
||||
id: 5e6a54ba58d3af90110a60a2
|
||||
title: Introduction C
|
||||
challengeType: 10
|
||||
isRequired: true
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
In this challenge you must analyze demographic data using Pandas. You are given a dataset of demographic data that was extracted from the 1994 Census database.
|
||||
|
||||
You can access <a href='https://repl.it/@freeCodeCamp/fcc-demographic-data-analyzer' target='_blank'>the full project description and starter code on repl.it</a>.
|
||||
|
||||
After going to that link, fork the project. Once you complete the project based on the instructions in 'README.md', submit your project link below.
|
||||
|
||||
We are still developing the interactive instructional part of the data analysis with Python curriculum. For now, you will have to use other resources to learn how to pass this challenge.
|
||||
</section>
|
||||
|
||||
## Instructions
|
||||
<section id='instructions'>
|
||||
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
tests:
|
||||
- text: 'It should pass all Python tests.'
|
||||
testString: ''
|
||||
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
## Challenge Seed
|
||||
<section id='challengeSeed'>
|
||||
|
||||
</section>
|
||||
|
||||
## Solution
|
||||
<section id='solution'>
|
||||
|
||||
```py
|
||||
# Python challenges don't need solutions,
|
||||
# because they would need to be tested against a full working project.
|
||||
# Please check our contributing guidelines to learn more.
|
||||
```
|
||||
|
||||
</section>
|
||||
@ -1,50 +0,0 @@
|
||||
---
|
||||
id: 5e6a54c358d3af90110a60a3
|
||||
title: Introduction D
|
||||
challengeType: 10
|
||||
isRequired: true
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
In this challenge you must analyze demographic data using Pandas. You are given a dataset of demographic data that was extracted from the 1994 Census database.
|
||||
|
||||
You can access <a href='https://repl.it/@freeCodeCamp/fcc-demographic-data-analyzer' target='_blank'>the full project description and starter code on repl.it</a>.
|
||||
|
||||
After going to that link, fork the project. Once you complete the project based on the instructions in 'README.md', submit your project link below.
|
||||
|
||||
We are still developing the interactive instructional part of the data analysis with Python curriculum. For now, you will have to use other resources to learn how to pass this challenge.
|
||||
</section>
|
||||
|
||||
## Instructions
|
||||
<section id='instructions'>
|
||||
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
tests:
|
||||
- text: 'It should pass all Python tests.'
|
||||
testString: ''
|
||||
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
## Challenge Seed
|
||||
<section id='challengeSeed'>
|
||||
|
||||
</section>
|
||||
|
||||
## Solution
|
||||
<section id='solution'>
|
||||
|
||||
```py
|
||||
# Python challenges don't need solutions,
|
||||
# because they would need to be tested against a full working project.
|
||||
# Please check our contributing guidelines to learn more.
|
||||
```
|
||||
|
||||
</section>
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a0e9ef99a403d019610cc
|
||||
title: Deep Learning Demystified
|
||||
challengeType: 11
|
||||
videoId: bejQ-W9BGJg
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a0e9ef99a403d019610cd
|
||||
title: How Convolutional Neural Networks work
|
||||
challengeType: 11
|
||||
videoId: Y5M7KH4A4n4
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a0e9ef99a403d019610ca
|
||||
title: How Deep Neural Networks Work
|
||||
challengeType: 11
|
||||
videoId: zvalnHWGtx4
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
---
|
||||
id: 5e9a0e9ef99a403d019610cb
|
||||
title: Recurrent Neural Networks RNN and Long Short Term Memory LSTM
|
||||
challengeType: 11
|
||||
videoId: UVimlsy9eW0
|
||||
---
|
||||
|
||||
## Description
|
||||
<section id='description'>
|
||||
</section>
|
||||
|
||||
## Tests
|
||||
<section id='tests'>
|
||||
|
||||
```yml
|
||||
question:
|
||||
text: Question
|
||||
answers:
|
||||
- one
|
||||
- two
|
||||
- three
|
||||
solution: 3
|
||||
```
|
||||
|
||||
</section>
|
||||
|
||||
Reference in New Issue
Block a user