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**Learning Goals:**
- Understand the concept and use of the Random Forest Classifier and K-Nearest Neighbors (KNN) algorithm.
- Learn how to preprocess medical data for machine learning, particula…
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### Project Name
Columbia Extradition
### Project Type
Data Science / Machine Learning
### Team Members + Emails
Junhui Cho (jh00@bu.edu)
### Detailed List of Resources Needed
Ope…
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This is a regression problem. We will be required to use a number of models that will predict KPI values based on the features extracted from an asset.
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Use supervised learning algorithms to train ML models on the data
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○ Time: 6 weeks
○ Tools Required: Scikit-learn, TensorFlow, PyTorch (within Azure AI Studio or Microsoft Fabric)
○ Steps:
1. Define model requirements and objectives.
□ Utilize histor…
zepor updated
3 months ago
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Things we are looking forward to covering:
- Flask API wrapper around the ML model
- Writing Dockerfiles(we will be using nvidia-docker)
- Horizontal scaling and load balancing
- Using a cloud p…
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I propose adding a Model Evaluation and Benchmarking System to ML Nexus to help users assess their model performance on standardized datasets and compare it against benchmarked scores. This feature wo…
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### The bug
See the title
### The OS that Immich Server is running on
Ubuntu 22.04
### Version of Immich Server
v1.99.0
### Version of Immich Mobile App
nope
### Platform with the issue
- [X]…
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This repository contains a machine learning model that predicts dementia in patients based on medical and demographic data. The model utilizes various supervised learning techniques to analyze histo…
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