Before getting started with training the machine learning algorithm, we will need to install Jupyter. To do so, we will use a platform known as Anaconda. Anaconda is a free and open-source ...

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 ...

Start your journey into machine learning with EEG time-series data in this easy-to-follow Python project. Perfect for ...

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, ...

JupyterLab provides a robust platform for machine learning and data analysis, combining the flexibility of an interactive notebook with the power of Python libraries. Whether you're building simple ...

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

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 ...

Discover 1-minute Python hacks to automate tasks, clean data, and perform advanced analytics in Excel. Boost productivity effortlessly in day ...

Learn machine learning algorithms, and statistical analysis to understand complex data, and leverage it to make informed business decisions. As part of the Rutgers Stackable Business Innovation ...

Coursera offers a variety of training options for the growing data professional. Explore top data science courses from Coursera now.