Hands on Data Science. Get hands dirty with real code!!!

Data science refers to the science of extracting useful information from data. Knowledge discovery in data bases, data mining, Information extraction also closely match with data science. Supervised learning,Semi supervised learning,Un supervised learning methodologies are out of Academia and penetrated deep into the industry leading to actionable insights, dashboard driven development, data driven reasoning and so on. Data science has been the buzzword for last few years in industry with only a handful of data scientists around the world. The industry needs more and more data scientists in future to solve problems using statistical techniques. The exponential availability of unstructured data from the web has thrown huge challenges to data scientists to exploit them before driving conclusions.

Now that's overload of information and buzzwords. It all has to start somewhere? Where and how to start? How to get hands dirty rather than just reading books and blogs. Is it really science or just code?. Let's get into code to talk data science.

In this workshop i will show the tools required to do real data science rather than just reading by building real models using Deep neural networks and show live demo of the same. Also share some of the key data science techniques every aspiring data scientist should have to thrive in the industry.

 
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Outline/Structure of the Workshop

  • Explain/show data science tools
  • Walk through/Explain the code written using Jupyter notebooks
  • Show live demo of the model prediction capability
  • Show key data science techniques at code level

Learning Outcome

  • Get straight into action rather than just reading books and blogs
  • Get a feel of what Deep learning code in production looks like.

Target Audience

Aspiring data scientists who wants to get their hands dirty

Prerequisites for Attendees

  • Basic knowledge of Python programming language ( Python 2.7 or Python 3.6 - preferred)
  • Jupyter notebooks with anaconda installation.
  • Keras and Tensor flow library basic usage.
schedule Submitted 1 year ago

Public Feedback

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  • Sarah Masud
    By Sarah Masud  ~  11 months ago
    reply Reply

    Hello Venkat,

    Thanks for the proposal. Can you help me understand how your proposed workshop is different from the numerious data science tutorials available online? Additng the value proposition will make it stand out :)

    Have you conducted this workshop before? Can you share a presentation/code from the previous sessions?

    Also, can you share a video of your previous speaking session? It will help us better access your proposal.

     


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