The decision to pursue data science as a career path was not a difficult one given the ever increasing relevance and importance that it has acquired in our everyday lives. Data science has played a major role in advancing our understanding of many phenomena and has aided many people in coming up with solutions to very important problems. As someone that comes from a Mathematics background and who is captivated by its pragmatic application, it was only a matter of time before I set my eyes upon this profession that everyone was talking about.

My initial exposure to Data Science…

Probability distributions are an integral concept in probability theory and statistics. It is of vast importance for aspiring data scientists to solidify their understanding of probability distributions in order to be more efficacious. This article will serve as an introduction to the concept of a probability distribution.

Before delving into what a probability distribution is, there are prerequisite concepts that have to be initially understood:

  • Discrete Data
  • Continuous Data
  • Random Variable

After defining these three terms the concepts that will be covered in the scope of this article are:

  • Probability Distribution
  • Discrete Probability Distribution
  • Probability Mass Function
  • Continuous Probability Distribution

Understanding how to assess the efficacy of your model is imperative. If you don’t understand how to interpret the results of a classification model then it will preclude you from being able to improve upon that model and properly implement it for the task that it is setting out to achieve.

When it comes to Linear Regression, typical metrics that are used to assess the model are : MSE , RMSE, MAE etc. These measures of error should be intuitive, despite using different mechanisms. They all capture or represent the extent to which the predicted values of the model deviate…

Shiffraw dagnechaw

Data Science Enthusiast

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