Data Science Dojo

AUGUST 11, 2023

The flexibility of Python extends to its ability to integrate with other technologies, enabling data scientists to create end-to-end data pipelines that encompass data ingestion, preprocessing, modeling, and deployment. Decision trees are used to classify data into different categories.

Data Science 195

Data Science Python Data Scientist Decision Trees 195

ODSC - Open Data Science

JANUARY 7, 2025

Data Engineering Data engineering remains integral to many data science roles, with workflow pipelines being a key focus. Tools like Apache Airflow are widely used for scheduling and monitoring workflows, while Apache Spark dominates big data pipelines due to its speed and scalability.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

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. Pipeline Orchestration Tools To handle the end-to-end workflow orchestration, you can use famous tools like Apache Airflow and Kubeflow Pipelines.

Machine Learning 59

Machine Learning Machine Learning ML ML 59

DagsHub

DECEMBER 23, 2024

They are: Based on shallow, simple, and interpretable machine learning models like support vector machines (SVMs), decision trees, or k-nearest neighbors (kNN). Relies on explicit decision boundaries or feature representations for sample selection. Libact : It is a Python package for active learning.

Deep Learning 52

Deep Learning Deep Learning Supervised Learning Clustering 52