K-Fold Cross-validation
Introduction: K-Fold Cross-Validation Generally, while building machine learning models, the dataset is split into train and test datasets so that […]
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Data Science
Synthetic Minority Oversampling Technique
Introduction In the machine learning classification problem, we very often deal with an imbalanced dataset. however, By an imbalanced dataset,
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Balancing Imbalanced Dataset
Image Source: www.trainingjournal.com In the real world, nothing is 100 percent perfect. So, the case in the data world. A
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ML PLC With Iris Dataset
In this article, I will be discussing all the steps of the ML PLC or project Life Cycle sequentially with
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Machine Learning Project Life Cycle
To build a perfect Machine Learning Project, there are certain steps that every data science aspirant should follow. These several
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introduction to Machine Learning
Machine learning is one of the hottest buzzwords in this 21st century and our world is driving towards it. The
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Logistic Regression in Machine Learning
Logistic Regression Logistic Regression is a classification algorithm that’s use wherever the response variable is categorical. The concept of logistic
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Naive Bayes
Naive Bayes Algorithm Another very talked-about supervised Classification rule is Naive Bayes mathematician. Before diving deep lets perceive What will
