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En continuant, vous acceptez nos Conditions d'utilisation, notre Politique de confidentialité et le fait que vos données sont stockées aux États-Unis.Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.
Create more accurate and reliable RAG systems with Graph RAG and hybrid RAG.
Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.
Learn how to approach and win competitions on Kaggle.
In this course you will learn to fit hierarchical models with random effects.
Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.
Learn how to make GenAI models truly reflect human values while gaining hands-on experience with advanced LLMs.
Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.
Analyse d’images avec Keras : construisez, entraînez et évaluez des réseaux convolutifs (CNN) en Python.
Sharpen your knowledge and prepare for your next interview by practicing Python machine learning interview questions.
This course covers everything you need to know to build a basic machine learning monitoring system in Python
In this course youll learn how to perform inference using linear models.
Learn how to write recursive queries and query hierarchical data structures.
Learn to build pipelines that stand the test of time.
Build AI agentic workflows that can plan, search, remember, and collaborate, using LlamaIndex.
Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.
Build real-world applications with Python—practice using OOP and software engineering principles to write clean and maintainable code.
Learn how to load, transform, and transcribe speech from raw audio files in Python.
In this course youll learn how to leverage statistical techniques for working with categorical data.
Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.
In this course youll learn techniques for performing statistical inference on numerical data.
Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.
Learn to analyze Airbnb data using SQL in Databricks, create dashboards, and derive actionable insights.
Learn key techniques to optimize Java performance, from algorithm efficiency to JVM tuning and multithreading.
Utilisez des RNN pour classifier le sentiment, générer des phrases et traduire des textes.
Réduisez les temps d’entraînement des LLM avec Accelerator et Trainer pour l’entraînement distribué.
Master Databricks with Python: learn to authenticate, manage clusters, automate jobs, and query AI models programmatically.
Learn how to write effective tests in Java using JUnit and Mockito to build robust, reliable applications with confidence.
Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.
Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.