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Model evaluation metrics in machine learning

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

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Data exploration and preprocessing in machine learning - House Price Prediction.

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

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What is descriptive statistics in machine learning?

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

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What is Exploratory Data Analysis in machine learning?

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

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Understand variables and their type in Machine Learning.

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

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What is Machine Learning? Understand it with a real world example!

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