Training Projects - Revision history

Bgeetika at 15:20, 26 August 2021

2021-08-26T15:20:10Z

2021-08-26T15:19:18Z

2021-08-26T15:18:25Z

2021-08-26T15:16:46Z

‎3. Text Cleaning

2021-08-26T15:16:09Z

‎7. Time Series

2021-08-26T15:11:56Z

‎7. Time Series

2021-08-26T15:09:01Z

‎7. Time Series

2021-08-26T15:07:23Z

2021-08-26T15:06:36Z

2021-06-30T19:17:21Z

‎1. Python Basics

@@ Line 5: / Line 5: @@
 We have found that the data cleaning step can take a long time, so our hope is that these datasets will be reasonably clean, allowing the participants to explore ocean AI.
-== Beginner Level ==
+== '''Beginner Level''' ==
 == 1. Python Basics==
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-== Intermediate Level ==
+== '''Intermediate Level''' ==
 ==2. Exploratory Data Analysis (EDA) ==
@@ Line 47: / Line 47: @@
-== Advanced Level ==
+== '''Advanced Level''' ==
 == 4. Object Detection ==

@@ Line 16: / Line 16: @@
 [https://drive.google.com/file/d/18eLxX91h4N_8936bJBkWuazF51UHub6V/view?usp=sharing Introduction to Python Libraries]
 ==2. Exploratory Data Analysis (EDA) ==
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 You can try the same dataset which I have attached here for practicing Data Cleaning. If you want to see how to pull tweets from Twitter, follow instructions given in Steps for Tweets Extraction and Steps for Text Cleaning links.
 == 4. Object Detection ==

← Older revision		Revision as of 15:18, 26 August 2021
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	We have found that the data cleaning step can take a long time, so our hope is that these datasets will be reasonably clean, allowing the participants to explore ocean AI.		We have found that the data cleaning step can take a long time, so our hope is that these datasets will be reasonably clean, allowing the participants to explore ocean AI.
		+
		+	== Beginner Level ==

	== 1. Python Basics==		== 1. Python Basics==

@@ Line 29: / Line 29: @@
 ==3. Text Cleaning==
-The purpose of this project is to show you how to clean the text before using it for NLP problems. In this project, I am using the Tweets posted by the users on World Ocean day which was on June 8, 2021. I created a Python Script to pull the tweets and then showed how to clean that raw data. Notebooks are attached for your reference.
+The purpose of this project is to show you how to clean the text before using it for NLP problems. In this project, I am using the Tweets posted by the users on World Ocean day which was on June 8, 2021. I have created a Python Script to pull the tweets and then showed how to clean that raw data. Notebooks are attached for your reference.
 [https://drive.google.com/file/d/1dxCTeF60NAFNPgvyx6dgllGKuiq-fdoH/view?usp=sharing Steps for Tweets Extraction]

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 ==7. Time Series==
-A Time Series is simply a series of data points ordered in time. In a Time Series, time is often the independent variable and the goal is usually to make a forecast for the future. Plot the points on a graph, and one of your axes would always be time. You can see the analysis ,plotting and building machine learning model for time series data in this project. This project is done in IBM Watson cloud and instructions are given in attached links.
+A Time Series is simply a series of data points ordered in time. In a Time Series, time is often the independent variable and the goal is usually to make a forecast for the future. Plot the points on a graph, and one of your axes would always be time. You can see the analysis ,plotting and building machine learning model for time series data in this project. This project is done in IBM Watson cloud and instructions are given in attached links. The Lite version of this cloud is free and provide you 25GB storage which is enough for this project.
 [https://docs.google.com/document/d/1t1HBDLnDKzd1trzE07tXEcuB_hJpiziu/edit?usp=sharing&ouid=117309982983716033255&rtpof=true&sd=true Instruction for setting account in IBM Watson cloud]

@@ Line 128: / Line 128: @@
 ==7. Time Series==
-A Time Series is simply a series of data points ordered in time. In a Time Series, time is often the independent variable and the goal is usually to make a forecast for the future. Plot the points on a graph, and one of your axes would always be time. You can see the analysis ,plotting and building machine learning model for time series data in this project.
+A Time Series is simply a series of data points ordered in time. In a Time Series, time is often the independent variable and the goal is usually to make a forecast for the future. Plot the points on a graph, and one of your axes would always be time. You can see the analysis ,plotting and building machine learning model for time series data in this project. This project is done in IBM Watson cloud and instructions are given in attached links.
 [https://docs.google.com/document/d/1wIPmktFBhH01dY5AQrGQbg-aYJor3r_V/edit?usp=sharing&ouid=117309982983716033255&rtpof=true&sd=true Steps to download dataset]
 [https://docs.google.com/document/d/1Uvh6cZIckDVNYKbPLmNbjW2jARiLg5tw/edit?usp=sharing&ouid=117309982983716033255&rtpof=true&sd=true Steps to handle Time Series data]
@@ Line 136: / Line 140: @@
 [https://docs.google.com/document/d/13FzlitRQ1b_SL3jZsQWkvcLNYf1zf30U/edit?usp=sharing&ouid=117309982983716033255&rtpof=true&sd=true Link to notebook]
 </div> <!-- autonum -->

← Older revision		Revision as of 15:09, 26 August 2021
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	==7. Time Series==		==7. Time Series==
		+
		+	A Time Series is simply a series of data points ordered in time. In a Time Series, time is often the independent variable and the goal is usually to make a forecast for the future. Plot the points on a graph, and one of your axes would always be time. You can see the analysis ,plotting and building machine learning model for time series data in this project.

	[https://docs.google.com/document/d/1wIPmktFBhH01dY5AQrGQbg-aYJor3r_V/edit?usp=sharing&ouid=117309982983716033255&rtpof=true&sd=true Steps to download dataset]		[https://docs.google.com/document/d/1wIPmktFBhH01dY5AQrGQbg-aYJor3r_V/edit?usp=sharing&ouid=117309982983716033255&rtpof=true&sd=true Steps to download dataset]

← Older revision		Revision as of 15:06, 26 August 2021
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	[https://colab.research.google.com/drive/18r3qvyJhNJ4gkNAB9dENGUQUBM2L-P4s?usp=sharing Link to Notebook]		[https://colab.research.google.com/drive/18r3qvyJhNJ4gkNAB9dENGUQUBM2L-P4s?usp=sharing Link to Notebook]

		+	==7. Time Series

		+	[https://docs.google.com/document/d/1wIPmktFBhH01dY5AQrGQbg-aYJor3r_V/edit?usp=sharing&ouid=117309982983716033255&rtpof=true&sd=true Steps to download dataset]
		+
		+	[https://docs.google.com/document/d/1Uvh6cZIckDVNYKbPLmNbjW2jARiLg5tw/edit?usp=sharing&ouid=117309982983716033255&rtpof=true&sd=true Steps to handle Time Series data]
		+
		+	[https://docs.google.com/document/d/13FzlitRQ1b_SL3jZsQWkvcLNYf1zf30U/edit?usp=sharing&ouid=117309982983716033255&rtpof=true&sd=true Link to notebook]
		+
		+	[https://drive.google.com/file/d/1rYcX5DbCLV7gEjiCUX3TyiqaH5khMwci/view?usp=sharing Dataset]
	</div> <!-- autonum -->		</div> <!-- autonum -->

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 Before exploring the AI Training projects, it is recommended to go through the Python Libraries required for Machine Learning projects. This would help you to understand the other projects effectively. This section contains the information about the essential Python Libraries required for AI project and also you can see the practical usage of these libraries through notebook attached.
-[https://drive.google.com/file/d/1rP5rrB2SwBl5Be2QmNArHzSSiQ_2USdB/view?usp=sharing Dataset] :
+[https://drive.google.com/file/d/1rP5rrB2SwBl5Be2QmNArHzSSiQ_2USdB/view?usp=sharing Dataset]
 [https://drive.google.com/file/d/108zO3LZwuRBSxRjLUBXUNRcXKc2DSdPt/view?usp=sharing Link for Notebook]