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Showing posts with the label #Data

Life Cycle of a Machine Learning(ML) project

Discrete Probability distribution in Machine Learning (ML) and its python implementation

Probability Distribution in Machine Learning (ML)

Measure of central tendency for grouped and ungrouped data and its python implementation(Machine Learning)

Understanding data type and Level of measurement for Machine Learning data

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In this modern world, to be a good data scientist, one should have sound knowledge of statistics and computer programming language (for data extraction, handling big data, data wrangling, data visualization, model creation etc.). For understanding statistics, first we will have to understand the data. In this blog, we will try to understand type of data and their measurement scale. 1.       Type of data/Variable: There are the different types of data that a statistician/data scientist will come across. There are two types of data: a.        Categorical Variable (Qualitative Variable): This kind of variable has qualitative value and not numerical value. For example :                                           ...