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NikoGab / PNE-Data-Analyis

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DATA Workshop #31

Open michaelbrainer opened 3 years ago

michaelbrainer commented 3 years ago

Points of presentation: -Data quality for: NLP, Image Recognition, Regression models (examples: email, images, machine data, reports) -Data Mining for: NLP, Image text Recognition, Regression models, Web data scraping -Feasible Data -Data Cleaning

-Goals of a project, inputs (what we have/should have and processed), outputs (summerires, clusters, classifications, numerical outcomes, semantics and insights)

Put more context in presentation

DashankaBrainersHub commented 3 years ago

Roadmap of the presentation

  1. Data types
    • Text, URLs, Tables, Traffic, other(video, audio)
  2. Data cleaning
    • Data cleaning process and important factors involves (time, effort, expert knowledge)
  3. Insights
    • Examples with diagrams and images
  4. Goal
    • Inputs, We (what we gonna do), Outputs
  5. Summery
    • Data we expect, 'bad data', your expectations, what question and data from customer