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**Supervised, Unsupervised, and Reinforcement Learning Explained**
When embarking on creating a machine learning model, one of the first choices you'll need to make is the type of learning approach t…
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Develop machine learning algorithms and models for tasks such as prediction, classification, or recommendation.
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### Description
Add Bayesian machine learning methods like BART and Bayesian clustering, there are R packages for this, maybe something for an internship/master student @vandenman?
### Purpose
Enha…
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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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> endorsement here!
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**Is your feature request related to a problem? Please describe.**
Currently, Fluent Search does not seem to account for files being dragged from the search interface to other locations when it comes…
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### 1. Lesson Topic
Introduction to large language models in Python
### 2. Lesson Language
English
### 3. Draft materials
The materials are already being developed as part of a short wo…
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#### Expected Behavior
The ML tutorials [here](https://www.quantconnect.com/docs/v2/writing-algorithms/machine-learning/popular-libraries) provide educational material on how to use all three l…
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Dear Authors,
I am currently working with the machine learning models provided in your repository and would like to inquire if it is possible to run the models on a single, specific dataset rather …