Veri, Yapay Zeka ve Bulut Kursları

• İleri SeviyeBeceri Seviyesi
• 4.4+
• 4.3K

Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!

• İleri SeviyeBeceri Seviyesi
• 4.6+
• 3.1K

Learn how to implement and schedule data engineering workflows.

• İleri SeviyeBeceri Seviyesi
• 4.5+
• 1.9K

Learn the fundamentals of working with big data with PySpark.

• İleri SeviyeBeceri Seviyesi
• 4.4+
• 1.7K

Daldırın ve sınıfları nasıl oluşturacağınızı, miras ve polimorfizmi nasıl kullanarak kodu yeniden kullanabileceğinizi ve optimize edebileceğinizi öğrenin.

• İleri SeviyeBeceri Seviyesi
• 4.5+
• 1.6K

Start your reinforcement learning journey! Learn how agents can learn to solve environments through interactions.

• İleri SeviyeBeceri Seviyesi
• 4.6+
• 1.5K

Build powerful multi-agent systems by applying emerging agentic design patterns in the LangGraph framework.

• İleri SeviyeBeceri Seviyesi
• 4.5+
• 1.3K

Master Git’s advanced features to streamline data science and engineering workflows, from complex merging to large-scale project optimization.

• İleri SeviyeBeceri Seviyesi
• 4.4+
• 1.3K

Master Python testing: Learn methods, create checks, and ensure error-free code with pytest and unittest.

• İleri SeviyeBeceri Seviyesi
• 4.7+
• 1.2K

Learn how to use FastAPI to develop APIs that support AI models, built to meet real-world demands.

• İleri SeviyeBeceri Seviyesi
• 4.4+
• 1.1K

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

• İleri SeviyeBeceri Seviyesi
• 4.5+
• 1.1K

Learn how to use MLflow to simplify the complexities of building machine learning applications. Explore MLflow tracking, projects, models, and model registry.

• İleri SeviyeBeceri Seviyesi
• 4.4+
• 1K

Take your dbt skills to the next level with this hands-on course designed for data engineers and analytics professionals.

• İleri SeviyeBeceri Seviyesi
• 4.7+
• 1K

Learn how to make predictions from data with Apache Spark, using decision trees, logistic regression, linear regression, ensembles, and pipelines.

• İleri SeviyeBeceri Seviyesi
• 4.7+
• 972

In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.

• İleri SeviyeBeceri Seviyesi
• 4.7+
• 909

Build your OOP skills with descriptors, multilevel inheritance, and abstract base classes!

• İleri SeviyeBeceri Seviyesi
• 4.5+
• 856

Apply PyTorch to images and use deep learning models for object detection with bounding boxes and image segmentation generation.

• İleri SeviyeBeceri Seviyesi
• 4.5+
• 842

What makes LLMs tick? Discover how transformers revolutionized text modeling and kickstarted the generative AI boom.

• İleri SeviyeBeceri Seviyesi
• 4.7+
• 837

Python kullanarak akıllı ajanlar oluşturmayı, bu ajanların mantık yürütmesini, hareket etmesini ve gerçek dünyadaki görevleri çözmesini öğrenin.

• İleri SeviyeBeceri Seviyesi
• 4.4+
• 762

Elevate your Machine Learning Development with CI/CD using GitHub Actions and Data Version Control

• İleri SeviyeBeceri Seviyesi
• 4.5+
• 749

Learn how to clean data with Apache Spark in Python.

• İleri SeviyeBeceri Seviyesi
• 4.6+
• 735

Learn how to design, automate, and monitor scalable forecasting pipelines in Python.

• İleri SeviyeBeceri Seviyesi
• 4.5+
• 668

In this interactive course, you’ll learn how to use functions for your Tableau calculations and when you should use them!

• İleri SeviyeBeceri Seviyesi
• 4.7+
• 653

Learn about ARIMA models in Python and become an expert in time series analysis.

• İleri SeviyeBeceri Seviyesi
• 4.4+
• 646

Prepare for your next coding interviews in Python.

• İleri SeviyeBeceri Seviyesi
• 4.4+
• 646

Discover the exciting world of Deep Learning for Text with PyTorch and unlock new possibilities in natural language processing and text generation.

• İleri SeviyeBeceri Seviyesi
• 4.5+
• 629

Learn and use powerful Deep Reinforcement Learning algorithms, including refinement and optimization techniques.

• İleri SeviyeBeceri Seviyesi
• 4.5+
• 589

Learn techniques to extract useful information from text and process them into a format suitable for machine learning.

• İleri SeviyeBeceri Seviyesi
• 4.5+
• 565

In this course you will learn to fit hierarchical models with random effects.

• İleri SeviyeBeceri Seviyesi
• 4.6+
• 553

Learn how to approach and win competitions on Kaggle.

• İleri SeviyeBeceri Seviyesi
• 4.6+
• 536

Learn how to transform raw data into clean, reliable models with dbt through hands-on, real-world exercises.