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when Recall, Precision, Accuracy, and F1 score is Important

Will see the Importance, why, and when we use Recall and Precision. Recall Recall is important when you want to…

Confusion matrix – Example, Scenario and Code

A confusion matrix is a table that is often used to describe the performance of a classification model (or "classifier")…

Evaluating the model performance [Deep Understanding] – Machine Learning

Evaluating the performance of a machine learning model is an important step in the model development process, as it allows…

Machine Learning – Random Forest

Random forests are a powerful machine learning algorithm that can be used for both classification and regression tasks. They are…

Machine Learning – Model Evaluation

Model evaluation is the process of assessing the performance of a model on a dataset. This is typically done by…

Machine Learning – Model Building

Machine learning is a type of artificial intelligence that allows computer programs to learn from data and improve their performance…

What is Chi-Square Test ?

In the field of statistics Occasionally we heard about categorical data, tests to validate the results, and different approaches to…

NLP – Natural language processing [Intro]

Hi folks, Here in this article we are going to see basic terminology and learn about Natural Language processing. Introduction…

Checking for Duplicate Rows – Short note

Hi folks here is the short tip to check the duplicate data in MySQL. Checking for Duplicate Rows To prevent…

SQL Where Clause – Short note

In this short note, Listed some quick relevant WHERE Clause keywords and methods which will use in SQL query. WHERE…