Traditional machine learning algorithms, dataframe operations like groupby-aggregations, joins, and timeseries manipulation. Data ingestion like CSV and JSON parsing.

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

Machine Learning: Theory & Hands-On Practice with Python Specialization In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use ...

For financial professionals to succeed in their expanded roles, they will need strong communications skills to be able to tell a compelling story when providing a recommendation or reviewing a report.

This course introduces a range of computational problems in financial markets and illustrates how they can be addressed by using tools from machine learning. In particular, portfolio optimisation, ...

This course is designed for students from various disciplines that use data, statistical and machine learning models to inform decision-making. The course is largely self-contained and reviews the ...

Python is used to power platforms, perform data analysis, and run their machine learning models. Get started with Python for technical SEO. Since I first started talking about how Python is being ...

Using machine learning, professionals in the financial industry can employ statistical models to draw insights from their data to make strategic decisions, solve financial problems and increase profit ...

As CEO of IMA (the Institute of Management Accountants), I’m attuned to the latest trends in the accounting and finance profession and the evolution of the professional’s role in the 21st century.