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### Feature Summary
Predictive Analytics for Investment Strategies: Create a predictive analytics tool that helps users make better investment decisions based on historical data and trends.
### Desc…
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- [ ] [system-2-research/README.md at main · open-thought/system-2-research](https://github.com/open-thought/system-2-research/blob/main/README.md?plain=1)
# OpenThought - System 2 Research Links
He…
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The AI algorithms that will process real-time health information and offer tailored wellness insights must be developed and verified.
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This feature predicts the performance of players and teams in upcoming matches using historical data. By leveraging machine learning algorithms, it provides insights into expected outcomes and helps i…
sv410 updated
1 month ago
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These comments on the sections related to black box models made on the version which was live on Friday 8 November 2024. The sections outlined below are what was covered.
**Definitions**
- [ ] A…
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A project to perform Pokémon data analysis and legendary classification using the Open Pokémon dataset. Uses advance data analysis techniques and Various machine learning models including neural netwo…
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# Weekly Notebook Entry — Week [01] - Week Span: [10/09] to [16/09]
### Quick Overview
We all got assigned to teams and had an overview of the current project status.
Task 1: Learning about t…
Myshx updated
1 month ago
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https://karan36k.github.io/2018/06/06/summary_of_nlp-sequence-models/
NoteThis is my personal summary after studying the course, nlp sequence models, which belongs to Deep Learning Specialization. …
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It's important to understand why real-time model monitoring is essential. In the real world, machine learning models are deployed to make predictions, often in real-time. However, these models can deg…
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Need to use online tools to create machine learning model for the twitter sentiment analysis. Will have to brush up on tensor-flow or PyTorch, and then make a decision on which tool we are going to be…