There are many different types of SVMs in this repository.
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Updated
May 22, 2024 - R
There are many different types of SVMs in this repository.
Implementing SVM's using pandas and sklearn in python
Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn
AIML Projects
Local RAG using LLaMA3
This project analyzes employee attrition data to uncover key factors, predict turnover, and develop strategies for retention, ultimately enhancing organizational stability and performance.
It is my group's middle project on text classification during a student exchange at Asia University, Taiwan. It uses five types of names of articles in PubMed.
This project aims to build a model to predict the truth of an article, hoax or non-hoax. Apart from that, this project also wants to identify the percentage of hoax and non-hoax articles.
Compare SVM mode yoga movement classification accuracy with Linear kernel, Polynomial kernel, RBF (Radial Basis Function) kernel, LSTM with accuracy up to 98%. In addition, it also supports adjusting the practitioner's movements according to standard movements.
Common machine learning algorithm implementations
This Repo includes how SVM is useful in Medical domain in the field of diabetes
Tools created for machine learning classification model evaluation
Enhancing Patient Care through AI-Driven Disease Prediction
Machine Learning Algorithms
Statistical inference on machine learning or general non-parametric models
Insanely fast Open Source Computer Vision library for ARM and x86 devices (Up to #50 times faster than OpenCV)
Why should you care about Eigenvectors? A study on the efficacy of using eigenfaces in image classification.
An analysis on Iris dataset of Scikit learn
Codes and projects used in the machine learning course.
Content: Support Vector, Hyperplane, Hyperparameter, Non-linearly separable data, Scaling
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