From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.

This course focuses on feature engineering and machine learning for time series data.

Discover how to apply machine learning techniques to trading strategies and financial markets.

Explore machine learning techniques for developing trading algorithms and strategies in financial markets.

Apply machine learning techniques to solve physics problems

This course takes a real-world approach to the ML Workflow through a case study. An ML team faces several ML business requirements and use cases.

This course encompasses a real-world practical approach to the ML Workflow: a case study approach that presents an ML team faced with several ML business requirements and use cases.

Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.

Prepare for machine learning job interviews with essential concepts, techniques, and practice problems.

This course is dedicated to equipping you with the knowledge and tools needed to uncover the unique challenges faced by MLOps teams when deploying and managing Generative AI models, and exploring how Vertex AI empowers AI teams to streamline MLOps processes and achieve success in Generative AI projects.

This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud.

Learn Machine Learning Terminology & Process and gain solid understanding along with hand-on labs. Master 5 Steps of ML