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Hi everyone! đź‘‹
I’m currently learning about machine learning concepts and am struggling to wrap my head around k-means clustering. I would really appreciate any resources, explanations, or examples…
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# Alzheimer's Disease Prediction
## Using Machine Learning Algorithms
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As a beginner in machine learning, I wonder if some more algorithms can be added to machine learning. If possible, can there be some simulation for algorithms?
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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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Objective
The primary objective of this project is to develop a book recommendation system that effectively suggests books to users based on their preferences and ratings. By utilizing machine learni…
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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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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Cricket Shots Detection
:red_circle: **Aim** : he project focuses on classification of different cric…
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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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Exploring the concept of autonomous machines, particularly within the context of directions (navigation, decision-making, etc.), involves several technical aspects that combine elements of artificial …
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A model for machine learning needs to be created by coding Python with data from this kaggle dataset.
![Screenshot_20210405-211257](https://user-images.githubusercontent.com/77495313/113745534-2aa6…