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Machine learning & data science skills for AI agents
Data comes first here: analysis and visualisation Skills explore datasets, test hypotheses and build dashboards. Machine learning Skills fine-tune and evaluate models, train them across many GPUs and serve them, with smaller groups for computer vision, language and vector search.
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532 Skills
Showing Skills in Machine learning & data science.- 483
482surrealdb-vector
surrealdb
Build semantic search with SurrealDB vectors.
Vector search
481machine-learning-ops-ml-pipeline
sickn33
Production-ready machine learning pipelines.
Machine learning operations
471llama-cpp
davila7
Run language models locally without NVIDIA.
Model inference
468pandas
manutej
Turn support tickets into clear team reports.
Support analytics
464behavioural-analytics
owl-listener
Find out why users drop off before redesigning.
Product analytics
- 464
long-context
davila7
Make transformer models handle longer documents.
Machine learning
457webphysics-avbd-engine
reason-machines
Add GPU-powered physics to your browser project.
Physics simulation
457xgboost-lightgbm
tondevrel
Train prediction models on tables and CSVs.
Tabular machine learning
452infographic-and-data-viz
social-media-skills
Turn real data into charts people understand.
Data visualization
WO- 444
d3-viz
davila7
Custom D3.js charts with precise visual control.
Data visualisation
443ml-model-training
secondsky
Train models without leaking your test data.
Machine learning
- 442
mlops-workflows
manutej
MLflow patterns for taking models to production.
Machine learning operations
6data-visualization
inference-sh
Clear charts that make your data's point.
Data visualization
Anomaly Detection
aj-geddes
Find unusual records in your data and compare methods.
Data analysis
Causal Inference
aj-geddes
Separate cause from correlation in your data.
Causal analysis
Clustering Analysis
aj-geddes
Find natural groups and patterns in your data.
Data analysis
Computer Vision
aj-geddes
Build models that recognize objects in images.
Computer vision
Data Visualization
aj-geddes
Turn your data into clear, publication-ready charts.
Data visualization
Exploratory Data Analysis
aj-geddes
Find patterns and quality issues in your data.
Data analysis
Feature Engineering
aj-geddes
Turn raw data into model-ready features.
Machine learning
ML Model Training
aj-geddes
Train predictive models and compare their results.
Machine learning
Model Hyperparameter Tuning
aj-geddes
Find better model settings with measured results.
Machine learning
Natural Language Processing
aj-geddes
Build apps that classify and understand text.
Natural language processing
NL
Yes, on hardware you provide or a cloud you connect. Training Skills set up the run, watch it, and save the evidence so results can be compared.
No, but the Skills show their working: which test they ran, on what data and with what assumptions, so you can judge the result.
Under Research & science, with the other domain-science Skills. This category keeps general data analysis and machine learning.