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pluginagentmarketplace/custom-plugin-ai-data-scientist

SkillsMP has collected 12 skills from pluginagentmarketplace/custom-plugin-ai-data-scientist. Open a skill to review its source and details.

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skills collected
12
GitHub stars
5
GitHub forks
1

Skills in this repository

1 occupation categories · 100% classified

Showing 12 of 12 collected skills.

occupation
Data Scientists
description

Python fundamentals, data structures, OOP, and data science libraries (Pandas, NumPy). Use when writing Python code, data manipulation, or algorithm implementation.

updated
occupation
Data Scientists
description

Q-learning, DQN, PPO, A3C, policy gradient methods, multi-agent systems, and Gym environments. Use for training agents, game AI, robotics, or decision-making systems.

updated
occupation
Data Scientists
description

ARIMA, SARIMA, Prophet, trend analysis, seasonality detection, anomaly detection, and forecasting methods. Use for time-based predictions, demand forecasting, or temporal pattern analysis.

updated
occupation
Data Scientists
description

Probability, distributions, hypothesis testing, and statistical inference. Use for A/B testing, experimental design, or statistical validation.

updated
occupation
Data Scientists
description

Image processing, object detection, segmentation, and vision models. Use for image classification, object detection, or visual analysis tasks.

updated
occupation
Data Scientists
description

ETL pipelines, Apache Spark, data warehousing, and big data processing. Use for building data pipelines, processing large datasets, or data infrastructure.

updated
occupation
Data Scientists
description

EDA, dashboards, Matplotlib, Seaborn, Plotly, and BI tools. Use for creating visualizations, exploratory analysis, or dashboards.

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occupation
Data Scientists
description

Neural networks, CNNs, RNNs, Transformers with TensorFlow and PyTorch. Use for image classification, NLP, sequence modeling, or complex pattern recognition.

updated
occupation
Data Scientists
description

Supervised/unsupervised learning, model selection, evaluation, and scikit-learn. Use for building classification, regression, or clustering models.

updated
occupation
Data Scientists
description

Docker, Kubernetes, CI/CD, model monitoring, and cloud platforms. Use for deploying ML models to production, setting up pipelines, or infrastructure.

updated
occupation
Data Scientists
description

Quantization, pruning, AutoML, hyperparameter tuning, and performance optimization. Use for improving model performance, reducing size, or automated ML.

updated
occupation
Data Scientists
description

Text processing, sentiment analysis, LLMs, and NLP frameworks. Use for text classification, named entity recognition, or language models.

updated
Showing 12 of 12 collected skills.