2. Data Science and ML - Section 2: The Problems

Steps to tackle problems as Data Scientist:
  1. Formulate Question
    1. Not vague, be specific. Find the prediction (target/dependent variable), find what can correlate with the prediction, this will be the feature/independent variable.
  2. Gather Data

  3. Clean Data
  4. Explore/Visualize Data
  5. Train Algorithm
  6. Evaluate Results

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