Building and Deploying models with Jupyter Notebooks

Pooja Mistry
Developer Advocate - IBM
@Poojamakes

IBM Developer

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Workshop:ibm.biz/jupyterworkshop

Slides: https://slides.com/poojamistry/jupyternotebooks

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• Where You’re From/Joining From

• Something You Love

• Quirk: Something that’s uniquely weird or different about you

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Watson Studio

IBM Watson Studio is an interactive, collaborative, cloud-based environment where data scientists can use multiple tools to activate their insights.
Data scientists can work with a growing set of data science tools such as

• R Studio

• Jupyter

• Python

• Scala

• Spark

• IBM Watson Machine Learning

• Watson Visual Recognition

• Natural Language Classifier

• Auto AI

• and more....

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Today we will learn how to use Watson Studio to build projects with Jupyter Notebooks :

Goals :

• Create Watson Studio Project
• Create a Jupyter Notebook to analyze data using Pandas
• Create a Jupyter Notebook to analyze data using Pixie Dust
• Create Jupyter Notebooks to create predictive models with Watson Machine Learning

Prerequisites

1. Create IBM Cloud Account using THIS URL

https://ibm.biz/BdqqLb

2. Check your email and activate your account. Once activated, log back into your IBM Cloud account using the link above.

3. If you already have an account, use the above URL to sign into your IBM Cloud account.

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Acquire Data

Cleanse Data

Explore Data 

Model Development Phase 

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Source: https://gist.github.com/Tahsin-Mayeesha/092b5d02f7f2eef6983746680de31581

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Source: https://www.edureka.co/blog/wp-content/uploads/2018/10/Jupyter_Notebook_CheatSheet_Edureka.pdf

@poojamakes

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• Python Data Analysis Library
• Built on top of Numpy
• Used to :
  • Clean Data
  • Manage Data
  • Analyze Data
  • Model Data
  • Organize Data in a form suitable for plotting

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Source : https://www.learndatasci.com/tutorials/python-pandas-tutorial-complete-introduction-for-beginners/

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Getting Started With Pandas :

Install Pandas

Import Pandas

Install Pandas

Get Data

Set as Data Frame

View output

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• Open source Python helper library. that  helps analyze Apache Spark Data frames .
• Works as an add-on to Jupyter notebooks to improve the user experience of working with data
• Works with Pandas
• One single API called display() lets you visualize your Spark object in different ways: table, charts, maps, etc.

Source :https://pixiedust.github.io/pixiedust/

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@poojamakes

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Watson Machine Learning

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API Documentation : http://wml-api-pyclient.mybluemix.net/index.html#api

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Lets Get Started

• ibm.biz/jupyterworkshop

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CODAIT Projects

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Curated List of Data : https://developer.ibm.com/exchanges/data/

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Resources

• Data analysis in Python using pandas : https://developer.ibm.com/tutorials/data-analysis-in-python-using-pandas/

• Working with geospatial vector data in Python : https://developer.ibm.com/tutorials/working-with-geospatial-vector-data-in-python/

• Visualize data with Python : https://developer.ibm.com/patterns/visualize-data-with-python/

• Machine learning using synthesized patient health records : https://developer.ibm.com/patterns/machine-learning-using-synthesized-patient-health-records/

• Data analysis, model building, and deploying with Watson Machine Learning with notebook : https://developer.ibm.com/patterns/data-analysis-model-building-and-deploying-with-wml/

• Build models using Jupyter Notebooks in IBM Watson Studio : https://developer.ibm.com/tutorials/watson-studio-using-jupyter-notebook/

@poojamakes

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Code Patterns

https://developer.ibm.com/patterns/

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https://www.meetup.com/ibmcodenyc/

https://www.crowdcast.io/ibmdeveloper

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Thank You!

Please Visit : developer.ibm.com

Follow Me!

Twitter: @poojamakes

LinkedIn: Pooja Mistry

dev.to: https://dev.to/poojamakes

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IBM Developer

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