courseraАнализ данных

PyCaret: Anatomy of Regression

Курс от Coursera

Средний≈ 2.3 чАнглийский

О курсе

In this 2 hour and 15 mins long project-based course, you will learn how to ow to set up PyCaret Environment and become familiar with the variety of data preparing tasks done during setup, be able to create, see and compare the performance of several models, learn how to tune your model without doing an exhaustive search, create impressive visuals of models, interpret models with the wrapper around SHAP Library and much more & all this with just a few lines of code. Note: This project works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Навыки, которые вы освоите

Regression Analysis Model Evaluation Predictive Modeling Model Training Development Environment Machine Learning Scientific Visualization Exploratory Data Analysis Model Optimization Statistical Modeling Fine-tuning Data Preprocessing Python Programming Applied Machine Learning Data Processing

Программа курса

1 модулей · 5 учебных материалов

01PyCaret Anatomy of Regression5 материалов

Practical Application via Rhyme

PyCaret: Anatomy of RegressionЧтение PyCaret: Anatomy of RegressionЛабораторная Graded Quiz: Test your Guided Project KnowledgeЗадание

Учитесь у экспертов

Muhammad Saad uddin

Data Science & Machine learning Practitioner