courseraАнализ данных

Machine Learning - Anomaly Detection via PyCaret

Курс от Coursera

Средний≈ 2 чАнглийский

О курсе

In this 2 hour long project-based course you will learn how to perform anomaly detection, its importance in machine learning, set up PyCaret anomaly detection, create, visualize & compare anomaly detection algorithms all this with just a few lines of code.

Навыки, которые вы освоите

Data Preprocessing Data Analysis Anomaly Detection Model Deployment Model Training Machine Learning Methods Jupyter Applied Machine Learning Data Visualization Machine Learning Scientific Visualization Exploratory Data Analysis Development Environment Unsupervised Learning Model Evaluation

Программа курса

1 модулей · 4 учебных материалов

01Machine Learning - Anomaly Detection via PyCaret4 материалов

Machine Learning - Anomaly Detection via PyCaret

Machine Learning - Anomaly Detection via PyCaretЧтение Machine Learning – Anomaly Detection via PyCaretЛабораторная Graded Quiz: Test your Project understanding Задание

Учитесь у экспертов

Muhammad Saad uddin

Data Science & Machine learning Practitioner