Isolation Forest Algorithm For Outlier Detection In Python
Outlier detection is an important part of machine learning and data analysis. One effective algorithm used for detecting outliers in a dataset is the Isolation Forest algorithm. In this blog, you'll learn the basics of the Isolation Forest algorithm and how to use it to detect and identify unusual observations or data points that deviate from the general trend of the dataset.
In this blog post, you'll find Python code and a step-by-step tutorial on how to use the Isolation Forest algorithm for outlier detection. The blog post also includes a video tutorial at the bottom which can help you to better understand the subject.
Therefore, if you're interested in learning how to detect outliers in your dataset using Python, this tutorial and blog post are essential resources for you.
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