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# May 5, 2023 ## PySpark Variable type Identification – A Comprehensive Guide to Identifying Discrete, Categorical, and Continuous Variables in Data

Let’s Explore what are discrete, categorical, and continuous variables, their identification techniques, and their importance in machine learning and statistical modeling. Data preprocessing is a critical step in machine learning and statistical modeling. Before diving into model building, it is essential to understand and identify the types of variables present in the dataset. Furthermore, I … ## PySpark Variance Inflation Factor (VIF) – Understanding of VIF and how it can help you improve your regression models.

VIF concept is critical for understanding multicollinearity in regression models, let’s break down the concept into simple terms, explain how to calculate VIF, and discuss its practical uses What is Variance Inflation Factor (VIF)? VIF is a measure that helps us understand the extent of multicollinearity in a multiple regression model. Multicollinearity occurs when two … ## PySpark Chi-Square Test – Understanding Chi-Square Test a Deep Dive with PySpark

Let’s explore the uses of Chi-Square in statistics and machine learning, and then demonstrate how to calculate the Chi-Square statistic in PySpark in different ways. Let’s dive into the world of statistics and machine learning, focusing on the Chi-Square Test. This statistical test is an essential tool for many data-driven applications and is widely used … Course Preview

## Machine Learning A-Z™: Hands-On Python & R In Data Science

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