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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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- The supervised machine learning should start with and intro (kNN is good), follow up with in-sample and out-of-sample, move to `caret::train`, and the follow up with `caret` and not revert back to `…
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i want to predict the total estimate cost required study abroad using input parameters like country, course, course type and fees using diffreent supervised machine learning techniques and Streamlit b…
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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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Reporter: Florian aka Mr. Flo
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**Is your feature request related to a problem? Please describe.**
Scikit-learn does not currently support supervised Principal Component Analysis (PCA) as it is considered not broadly applicable i…
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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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In this, we will convert a time series problem to a supervised machine learning problem to predict driver demand. Exploratory analysis has to be performed on the time series to identify patterns. A re…
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**Is your feature request related to a problem? Please describe.**
The student often faced a problem regarding the cost of abroad study expenses. our system based on supervised machine learning model…