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Support Vector Machines (SVM) is a supervised machine learning algorithm for classification and regression tasks. SVM works by finding the optimal hyperplane that separates data points of different cl…
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:red_circle: **Title** :
SVM from sractch
:red_circle: **Aim** :
To gain understanding of support vector machine algorithm by coding it.
:red_circle: **Brief Explanation** :
Support Vector Machi…
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In the movie_list page implement tags that contains the genre of the movie. Don't make the user the tags manually . The tags can also be color coded.
Use natural language processing (NLP) techniques…
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Preference learning for pairwise objective ranking
[Adversarial Preference Learning with Pairwise Comparisons](https://www.researchgate.net/profile/Yangbangyan-Jiang/publication/336713689_Adversari…
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# Facial Expression Detection through Video and Camera 🎥😄
This project utilizes supervised learning to detect and classify facial expressions in real-time using video and camera input. It leverages t…
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hello @yashasvini121,
Problem Description
Parkinson's Disease is a progressive neurological disorder that affects movement, often causing tremors, stiffness, and difficulty with balance and coordina…
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I would like to provide a detailed flow of creating SVM ML model. So that we can have a clear understanding of how the model contributes in detecting Breast Cancer and also can find the accuracy.
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Description:
Right now, the project focuses on specific machine learning models. We would like to add support for more models, such as Random Forest, K-Nearest Neighbors, or SVM, for donor segmenta…
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@Qbicz could you please add some additional info?
Qbicz updated
6 years ago
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Hello, VENumML team!
I came across VENumML, and I’m very impressed by its vision for enabling `Privacy-Preserving Machine Learning (PPML)` with `Fully Homomorphic Encryption (FHE)`. I believe this …