Python has become the most popular data science and machine learning programming language. But in order to obtain effective data and results, it’s important that you have a basic understanding of how ...

Python is used to power platforms, perform data analysis, and run their machine learning models. Get started with Python for technical SEO.

Aspiring data-science and machine-learning developers now have more Microsoft-made free video tutorials to learn how to build software in Python, one of today's most popular and versatile ...

This book is edited by Li Hui and Chen Yanyan, with associate editors Yang Yu, Gao Yong, Zhang Qiaosheng, Bi Ye, and Liu Dengzhi. It is rich in content, covering 32 theories and 32 practical cases, ...

Programming languages: Basic to intermediate experience with Python, Jupyter Notebook Math: Basic level Probability and Statistics, Linear Algebra Technical requirements: Windows or Mac, Linux, ...

In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...

The Scikit-learn Python framework has a wide selection of robust machine learning algorithms, but no deep learning. If you’re a Python fan, Scikit-learn may well be your best option among the ...

Snowpark for Python gives data scientists a nice way to do DataFrame-style programming against the Snowflake data warehouse, including the ability to set up full-blown machine learning pipelines ...

With the Premium Machine Learning Artificial Intelligence Super Bundle, you get lifetime access to all 12 courses and 438 lessons that come included in this series.