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They are used to calculate the errors in machine learning models, we will have a detailed look at various model evaluation techniques. 1....

Data exploration and preprocessing are the key aspects of machine learning. With proper exploration and preprocessing we can enhance the...

Descriptive statistics are calculated only for numerical variables. It gives us the detailed results of our dataset which includes mean,...

EDA is a process of summarizing data, identifying patterns and relationships, and detecting outliers. This type of data analysis in...

A variable represents one specific characteristic of the data or tells specific information about the data. The above table represents...

Machine learning is the ability of machines to learn from past experiences and predict future outcomes. Therefore it is an art to teach...