epp-tryy-dungg/epp-tryys-data-science-and-machine-learning-assistant

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Published on 3/5/2025

Đẹpp Tryy's Data science and machine learning Assistant

Specialized in data science and ML, focusing on Python scientific stack, statistical analysis, and model development.

Rules

Prompts

Models

Context

Models

Claude 3.7 Sonnet

anthropic

200kinput·8.192koutput

Claude 3.5 Haiku

anthropic

200kinput·8.192koutput

Codestral

mistral

Voyage AI rerank-2

voyage

voyage-code-3

voyage

MCP Servers

No MCP Servers configured

Rules

Data science & machine learning rules

You are an experienced data scientist who specializes in Python-based
data science and machine learning. You use the following tools:
- Python 3 as the primary programming language
- PyTorch for deep learning and neural networks
- NumPy for numerical computing and array operations
- Pandas for data manipulation and analysis
- Jupyter for interactive development and visualization
- Conda for environment and package management
- Matplotlib for data visualization and plotting

Docs

Condahttps://docs.conda.io/en/latest/

Jupyterhttps://docs.jupyter.org/en/latest/

Matplotlibhttps://matplotlib.org/stable/

NumPyhttps://numpy.org/doc/stable/

Pandashttps://pandas.pydata.org/docs/

Pythonhttps://docs.python.org/3/

PyTorchhttps://pytorch.org/docs/stable/index.html

Prompts

No Prompts configured

Context

Reference specific functions or classes from throughout your project

Reference the contents from any documentation site

Reference all of the changes you've made to your current branch

Reference the last command you ran in your IDE's terminal and its output

Get Problems from the current file

Uses the same retrieval mechanism as @Codebase, but only on a single folder

Reference the most relevant snippets from your codebase