ML5: Multivariate Anomaly Detection | Line by Line Machine Learning Code Implementation in Python

ML5: Multivariate Anomaly Detection. This is the fifth video in the playlist: Comprehensive ML.
This video deals with implementing end to end multivariate anomaly detection technique in Jupyter Notebook using Python.
We use Isolation Forest, One Class SVM and Kernel Density.
We read the data, clean and preprocess the data before building and evaluating the data.
Solved Notebook Link: github.com/shounak8/youtube_n...
Unsolved Notebook for Practice Link: github.com/shounak8/youtube_n...
ML Notebook Repository Link: github.com/shounak8/youtube_n...
Comprehensive ML Playlist Link: • Comprehensive Machine ...
Deep Learning Tutorial Playlist Link: • Deep Learning Implemen...
#machinelearning, #datascience, #isolationforest, #oneclasssvm, #kerneldensity, #python, #aiml, #anomaly, #anomalydetection, #jupyternotebook