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I would like to implement decision trees, neural networks and the K-Means Clustering algorithm i.e. 2 supervised and 1 unsupervised learning algorithm, without using sklearn so that beginners to machi…
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```
docs/
├── README.md # Overview of the documentation structure
├── getting-started/
│ ├── introduction.md # Introduction to AIBuddies and AI
│ …
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[This post](https://dashee87.github.io/data%20science/general/Clustering-with-Scikit-with-GIFs/) has some nice GIFs explaining some unsupervised learning algorithms. Each time I've taught this worksho…
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Hey!
I am wondering if there are readily available unsupervised metrics within each of the different algorithms of how well the model thinks its doing? I am looking for something like this: [How To…
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I just say hello, and the 34B model start a conversation without me like below. (The bold lines is the question that model ask itself, not from me). It happened in Gradio Web UI, is it a bug of the mo…
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- Flood Susceptibility Mapping (FSM) involves identifying areas prone to flooding to mitigate future floods and assess susceptibility.
- Floods are among the most destructive natural disasters, causi…
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Great to see you guys undertake this project, would be nice to have a well maintained lib for these applications.
I am not sure if you are aware of some similar applications and libs, since you did…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
### Machine Learning Algorithms for GitHub Feature Request
1. *Linear Regression*: Pred…
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Building a plagiarism detector using machine learning. I start by loading and preprocessing the dataset, followed by training a logistic regression model and deploying it on a Flask web application f…
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Supervised and unsupervised learning algorithms
Artificial neural networks
Feature selection methods
Evaluation and validation of machine learning models