#6 Sklearn - Python package - Linear Regression

In this week, I am learning an algorithm in sklearn package (python) names Linear Regression. Linear Regression "is a linear approach for modelling the relationship between a scalar response and one or more explanatory variable (also known as dependent and independent variables).

In these pictures below, I was using Linear Regression to predict the house pricing in Washington State. I have also exposed the new graphic packages are seaborn and matplot, I won't plan to inquire too much in these, but I found it's helpful to visualize the data.

To me, the best way to learn something is practicing and working through specific project. That's why I always try to find something related to what I want to learn then start it. It looks pretty messy now, but I will give an update soon in next week after I elaborate my code beautifully. 













Comments

  1. UnknownNovember 14, 2021 at 9:42 PM

    I genuinely apologize for this late work! I thought I did but I wasn't. It's my fault. I promise I will take more attention on deadline of the assignment. Again, I am so sorry and ashamed about this!

    Bao Huynh

    ReplyDelete
    Replies
    1. EricaNovember 20, 2021 at 3:16 PM

      Bao,
      Not to worry, it happens to the best of us.
      Nice initial work with the Sklearn package. I agree with you, a visual is necessary to get an adequate feel for the results. It is important to always keep your audience in mind when reporting large data, what tools can you use to share your results in the most meaningful way.

      Delete

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