In this repository, You will find the documentations on a daily basis on Machine Learning
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Updated
May 25, 2024
In this repository, You will find the documentations on a daily basis on Machine Learning
Using machine learning models to predict if patients have chronic kidney disease based on a few features. The results of the models are also interpreted to make it more understandable to health practitioners.
GeneWalk identifies relevant gene functions for a biological context using network representation learning
Welcome to my machine learning journey repository! 🚀 Here, I document my learning ML experiences, projects, and insights as I progress through my B.Sc. CSIT program at Tribhuvan University, Nepal. Explore various machine learning algorithms and models, including supervised, unsupervised, and reinforcement learning.
Artificial Intelligence, Computer Network, Machine Learning, Python, DAA, Distributed System, Internet of Things (IoT), Data Science and Analysis.
Code playground for commonly used machine learning models and algorithms
The program is written in R which analysis patient's health condition using sentiment analysis and classifies as exist, deteriorate and recover using machine learning algorithm - Naive bayes
A project to survey the possibilities of a graph database Neo4j in building decision tree algorithms using stored procedures.
Python Machine Learning algorithms and experiments. At the moment there is an implementation of k nearest neighbours on features projection algorithm (k-NNFP), and Voting Feature Intervals algorithm.
Splitting the advertising data (advertising.csv) into training and testing data sets, then choosing and training a classification machine learning algorithm; Getting the accuracy of the ML model; Using feature engineering skills to create new features and improve my ML model;
A log-based Threat Hunting tool
A java library providing a configurable neural network. Supports supervised learning and genetic algorithm.
A New Classification Method Using Soft Decision-Making Based on an Aggregation Operator of Fuzzy Parameterized Fuzzy Soft Matrices
FL-HDC: Hyperdimensional Computing Design for the Application of Federated Learning (IEEE AICAS2021)
Numerical Data Classification via Distance-Based Similarity Measures of Fuzzy Parameterized Fuzzy Soft Matrices
A Classification Method in Machine Learning Based on Soft Decision-Making via Fuzzy Parameterized Fuzzy Soft Matrices
Music Genre Classification and Recommendation
Files for Feature Engg, Feature Scaling, Feature Selection, Statistics and Implementation of every Machine Learning Algorithm.
Ozone Day AdaBoostClassifier and Random Forest Tree Classifier with Machine Learning
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