Python

Apply modern reinforcement learning and deep reinforcement learning methods using Python and its powerful libraries

Discover powerful ways to effectively solve real-world machine learning problems using key libraries including scikit-learn, TensorFlow, and PyTorch

Take your financial skills to the next level by mastering cutting-edge mathematical and statistical financial applications

Leverage the power of reward-based training for your deep learning models with Python

Concepts, tools, and techniques to explore deep learning architectures and methodologies

Implementing next-generation data sequencing for biological research and genomics

Refine your Python programming skills and build professional grade applications with this comprehensive guide

A case study approach to successful data science projects using Python, pandas, and scikit-learn

A practical guide for developing end-to-end serverless microservices in Python for developers, DevOps, and architects.

The goal of this course is to learn how to use Python and Spark to ingest, process, and analyze large volumes of data with different structures to generate insights and useful metrics from the data, walking through real-life examples and use cases.

To write the machine learning and deep learning applications that create your business edge