PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics
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Updated
Mar 30, 2025 - Jupyter Notebook
PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics
Build an ML workflow using AWS Lambda and AWS step functions
Predicting price housing using a small data set. A project to understand the whole ML workflow.
Ongoing | 🏠~>🤖~>💰 via 🌀 ZenML and 🧪 MLflow
ML scientific job orchestration platform: FastAPI API, Celery Worker, PostgreSQL DB, RabbitMQ broker, and React frontend for spectral analysis, data preprocessing, and active‐learning workflows 🪐
This is a one-day machine learning introductory course for beginners
The project aims at understanding the pattern of the data and predicting customers who are going to churn based on multiple variables to help the company in retaining their existing customers.
Datacmp is a lightweight Python library for inspecting and preparing datasets. It offers summaries, column cleaning, and smart missing value handling - perfect for ML and data science workflows.
ML Workflow for a company called Scones Unlimited. Image classification model that can automatically detect which kind of vehicle delivery drivers have, in order to route them to the correct loading bay and orders.
Classify the cell embryo development stages of the D. Melanogaster (fruit fly). Created by Noah Rizika, aiming to expedite research conducted by Bing He, Ph.D.
This project is based on the case study of a telecommunication company, which is facing a customer churn issue. The project aims at understanding the pattern of the data and predicting customers who are going to churn based on multiple variables to help the company in retaining their existing customers.
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