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Data Structures and Algorithms in Python
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Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!
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Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!
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Learn how to implement and schedule data engineering workflows.
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Learn the fundamentals of working with big data with PySpark.
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Dive in and learn how to create classes and leverage inheritance and polymorphism to reuse and optimize code.
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Start your reinforcement learning journey! Learn how agents can learn to solve environments through interactions.
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Build powerful multi-agent systems by applying emerging agentic design patterns in the LangGraph framework.
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Master Git’s advanced features to streamline data science and engineering workflows, from complex merging to large-scale project optimization.
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Master Python testing: Learn methods, create checks, and ensure error-free code with pytest and unittest.
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Learn how to use FastAPI to develop APIs that support AI models, built to meet real-world demands.
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This course focuses on feature engineering and machine learning for time series data.
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Learn how to use MLflow to simplify the complexities of building machine learning applications. Explore MLflow tracking, projects, models, and model registry.
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Take your dbt skills to the next level with this hands-on course designed for data engineers and analytics professionals.
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Learn how to make predictions from data with Apache Spark, using decision trees, logistic regression, linear regression, ensembles, and pipelines.
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In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.
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Build your OOP skills with descriptors, multilevel inheritance, and abstract base classes!
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Apply PyTorch to images and use deep learning models for object detection with bounding boxes and image segmentation generation.
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What makes LLMs tick? Discover how transformers revolutionized text modeling and kickstarted the generative AI boom.
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Learn how to build intelligent agents that reason, act, and solve real-world tasks using Python.
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Elevate your Machine Learning Development with CI/CD using GitHub Actions and Data Version Control
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Learn how to clean data with Apache Spark in Python.
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Learn how to design, automate, and monitor scalable forecasting pipelines in Python.
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In this interactive course, you’ll learn how to use functions for your Tableau calculations and when you should use them!
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Learn about ARIMA models in Python and become an expert in time series analysis.
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Prepare for your next coding interviews in Python.
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Discover the exciting world of Deep Learning for Text with PyTorch and unlock new possibilities in natural language processing and text generation.
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Learn and use powerful Deep Reinforcement Learning algorithms, including refinement and optimization techniques.
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Learn techniques to extract useful information from text and process them into a format suitable for machine learning.
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In this course you will learn to fit hierarchical models with random effects.
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Learn how to approach and win competitions on Kaggle.
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Learn how to transform raw data into clean, reliable models with dbt through hands-on, real-world exercises.
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