In the last six years, the financial sector has seen an increase in the use of machine learning models in financial, banking and insurance contexts. Data science and advanced analytics teams in the financial and insurance community are implementing these models regularly and have found a place for them in their toolbox.

How are items recommended when you’re browsing for movies, jobs or clothing online? Register here and you’ll discover the fundamental concepts and methods allowing the most relevant item suggestions to users from e-commerce to online advertisement.

If you want to learn to code with Python, this free course will give you an overview of the ins and outs of Python basics. Try our no-risk course today and see why Python has become one of the world’s most popular and in-demand programming languages. No previous coding experience required.

This course teaches how to build deep learning models using TensorFlow to predict rare probability events.

The course covers basics of LLMs and Langchain, utilizing prompt templates, different types of chains, and leveraging Langchain for LLM application development.

Explore the capabilities of OpenAI's GPT-3 and learn how to harness its power to build AI applications.

This course will teach you the fundamentals of the Pandas library in terms of data representation, processing and filtering to programmatically start working with complex datasets with ease and extreme convenience.

Analyze geospatial data and perform geographic operations using GeoPandas, a Python library.

This course covers various endpoints of the Open AI API with GPT and how it can accomplish NLP tasks such as text completion, summarization, and classification.

Gain the skills to transform data into stories, using the DIKW pyramid and the Altair Python library.

Build full-stack web applications using Python and Transcrypt, a tool for transpiling Python code into JavaScript.

Learn how to use Python for reading and writing optical labels, focusing on barcode and QR code generation.