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Learn Feature Engineering, earn certificates with free online courses from Johns Hopkins, University of Washington, The Open University, IIT Kharagpur and other top universities around the world. Read reviews to decide if a class is right for you.
Explore Vertex AI Feature Store, improve ML model accuracy, and master feature engineering techniques using BigQuery ML, Keras, and TensorFlow for enhanced machine learning outcomes.
Explore Feature Stores' role in streamlining ML projects, acting as a control tower for efficient feature management in data processes.
Explore scalable feature engineering using Hamilton and Ray at StitchFix. Learn declarative dataflow, team scaling, and efficient computation for thousands of time-series features.
Explore feature platforms for production AI, including Tecton's unified approach, Cleo's custom solution, and DIY strategies for building scalable, flexible ML infrastructures.
Learn to preprocess and engineer features from raw data using Python. This course will teach you to handle missing values, detect outliers, create relevant features, and optimize datasets for effective data science projects.
Explore regression model geometry and feature engineering techniques to enhance data analysis and model performance.
Explore feature engineering's impact on logistic regression, covering sigmoid curves, non-monotonic relationships, and sinusoidal patterns.
Explore a dependent type system for feature engineering, enhancing machine learning model inputs through advanced data operations and compiler techniques.
Master feature engineering techniques to streamline your machine learning workflow. Explore systematic approaches using Anovos, an open-source library for efficient data processing and model building.
Discover how sophisticated feature generation acts as the cornerstone for developing accurate and effective AI models, illustrated through real-world examples from DeepMind and global corporate implementations.
Migliora l'accuratezza dei modelli ML con Vertex AI Feature Store. Esplora tecniche avanzate di feature engineering utilizzando BigQuery ML, Keras e TensorFlow per ottimizzare le prestazioni dei tuoi progetti di machine learning.
In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB to lay the foundation required for predictive modeling.
Develop practical data science skills using MATLAB for visualization, analysis, and modeling. Learn to process data, engineer features, and apply machine learning techniques across various industries without becoming a full-time developer.
Explore machine learning concepts and workflows using AWS SageMaker, from data analysis to model deployment. Learn to apply ML techniques, use advanced algorithms, and optimize models for real-world scenarios.
Unlock EHR data potential with AI: Learn to build compliant, interpretable ML models addressing bias and uncertainty using cutting-edge tools. Gain skills in data security, code sets, and feature engineering.
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