Workshop Wednesday: Engineering Star Trek with Data Science

Episode 2 we'll start building the Sci-Fi inspired ML model to detect plants. Check out the last episode to see how we scoped our project. http://bit.ly/4nS76Wz

Tech Stack:
Anaconda 2025.06 + Python 3.13.5
ML/Data: NumPy, Pandas, Scikit-learn, Scikit-Image, TensorFlow, PyTorch
Datastore: DuckDB
Performance: CuCIM (NVIDIA RAPIDS)

Projects we'll start building:
* Tricorder Medical Diagnostics (OpenCV + ML)
Warp Core Optimizer (Numba + SciPy + Deep learning)
Temporal Anomaly Detection (time series + DuckDB)

Projects still left to plan:
Enterprise Bridge Computer (Jupyter + Streamlit)
Starfleet Academy ML Predictor (scikit-learn)
Universal Translator Neural Network (TensorFlow)
Holodeck Environment Generator (BlenderAPI, PyScript + NumPy)
Stellar Cartography Mapper (HoloViz + 3D)
Borg Pattern Recognition (PyTorch)
Replicator Molecular Database (image processing)

Perfect for data scientists, ML engineers, and Python developers interested in practical sci-fi applications. We'll discuss architecture, library choices, and implementation strategies.
Live long and code! 🖖

#Python #DataScience #Anaconda #SciPy2025 #StarTrek #MachineLearning

Видео Workshop Wednesday: Engineering Star Trek with Data Science канала The Bajoran Engineer