Data Modeling, Data Pipeline and Decision Trees

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Data Modeling

Data Pipeline

Decision Trees

Building Scalable AI Pipelines with MLOps: A Guide for Software Engineers

ODSC - Open Data Science

OCTOBER 7, 2024

In today’s landscape, AI is becoming a major focus in developing and deploying machine learning models. It isn’t just about writing code or creating algorithms — it requires robust pipelines that handle data, model training, deployment, and maintenance. Model Training: Running computations to learn from the data.

Machine Learning

Machine Learning Machine Learning AI AI

How to Choose MLOps Tools: In-Depth Guide for 2024

DagsHub

APRIL 21, 2024

Scikit-learn provides a consistent API for training and using machine learning models, making it easy to experiment with different algorithms and techniques. It also provides tools for model evaluation , including cross-validation, hyperparameter tuning, and metrics such as accuracy, precision, recall, and F1-score.

Machine Learning

Machine Learning Machine Learning ML ML

Data Science Current

Building Scalable AI Pipelines with MLOps: A Guide for Software Engineers

How to Choose MLOps Tools: In-Depth Guide for 2024

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