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Thoughts & ideas

  • Statistics for Data Science – Normal Distribution Example

    Understanding statistical concepts is crucial for data science, as they form the foundation for data analysis and decision-making. One of the most important and widely used concepts in statistics is the normal distribution. In this…

  • Statistics for Data Science – Normal Distribution Properties

    The normal distribution, also known as the Gaussian distribution, is one of the most important concepts in statistics, particularly in the context of data science. It is widely used because many real-world phenomena are approximately…

  • Statistics for Data Science – Normal Distribution Intro

    In the world of data science, understanding probability distributions is key to making informed decisions based on data. One of the most important probability distributions to grasp is the Normal Distribution, often referred to as…

  • Statistics for Data Science – Uniform Distribution Example

    In statistics, the uniform distribution is one of the most fundamental probability distributions. It is used to model situations where all outcomes are equally likely. Understanding the uniform distribution is essential for data science, as…

  • Statistics for Data Science – Uniform Distribution Concept

    Understanding probability distributions is a key part of data science, as they form the foundation for statistical analysis. One such distribution is the Uniform Distribution. This distribution is simple yet powerful, and is often used…

  • Statistics for Data Science – Binomial Distribution Assumptions

    The Binomial Distribution is a commonly used probability distribution in statistics. It is essential to understand the assumptions behind the Binomial Distribution when applying it in Data Science. These assumptions help us determine when this…