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Problem Description:
Developing a new machine learning model for improving the accuracy and performance of stock price predictions. The challenge lies in modeling the highly volatile nature of stoc…
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Programming Historian in English has received a proposal for a lesson, "Simulations in historical research: How to create an agent-based model of communication networks" by @merrygin and @maltevogl.
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## Overview
This project aims to predict loan defaults using deep learning techniques. The system utilizes Multi-Layer Perceptron (MLP), Convolutional Neural Networks (CNN), and Recurrent Neural Ne…
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Weekly historical power data ([example](https://data.opennem.org.au/v3/stats/historic/weekly/NEM/NSW1/year/2022/week/33.json)) is not populated in the static outputs during initialisation of the backe…
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Overall
- [ ] visually distinguish tutorials, templates and model notebooks - in sections?
- [ ] when clicking on a notebook author name now another notebook opens. Not urgen but how about an overvi…
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**Is your feature request related to a problem? Please describe.**
This feature would give us the ability to spin up new temporary environments which will help with protocol development and address…
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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
1 month ago
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**Description:**
Predicting future traffic flow, which will aid in traffic management and planning. The goal is to build a model that can accurately forecast traffic flow based on historical data a…
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In financial derivatives hedging, feature extraction is locating and extracting useful data or features from raw data that may be utilized to make forecasts or choices. These characteristics may inclu…
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This is an issue to track portal history post-merge header canonicalness validation.
- [x] 1. Set the ground for running multiple portal networks alongside the portal history network.
- [ ] 2. B…