AIML Projects
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Updated
May 26, 2024 - Jupyter Notebook
AIML Projects
This Repository consists of algorithms related to AI-ML. Few examples include - KNN, Naive Bayes, Decision Trees, etc.
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.
This repository contains lecturer's dissertation about sentiment analysis web application
Predicting Credit Card Defaults This repository provides a step-by-step tutorial on predicting credit card defaults using machine learning algorithms in Python with scikit-learn. Learn to implement SVM, Random Forest, Decision Trees, k-Nearest Neighbors, and Artificial Neural Networks to forecast default payments for credit card clients.
There are many different types of SVMs in this repository.
Practice Assignments for Data Science Coursework
Implementing SVM's using pandas and sklearn in python
Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn
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.
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
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