SarthakSahoo / Software-Reliability-Prediction-Using-Ensemble-Learning
Software reliability is an indispensable part of software quality and is one among the most inevitable aspect for evaluating quality of software product. Software Industry endures various challenges in developing highly reliable software. We use the ensemble methods and machine learning techniques for software reliability predictions and evaluat…
☆1Updated 3 years ago
Alternatives and similar repositories for Software-Reliability-Prediction-Using-Ensemble-Learning:
Users that are interested in Software-Reliability-Prediction-Using-Ensemble-Learning are comparing it to the libraries listed below
- This project aims to tackle the image captioning problem using two different architectures such as CNN-Attention-GRU and CNN-Transformer☆7Updated 2 years ago
- Forecasting for Istanbul Stock Exchange with ANFIS and SVM based on Genetic and Ant Colony Algorithm for Parameter Optimization☆16Updated 6 years ago
- Prediction of "left/stayed" employees using Decision Trees and more☆10Updated 6 years ago
- Multi-label feature selection based on fuzzy rough sets☆13Updated 9 years ago
- Multivariate time series prediction using LSTM in keras☆33Updated 7 years ago
- A Python implementation of the Differential Evolution algorithm for the optimization of Fuzzy Inference Systems.☆21Updated 6 years ago
- Classifing the iris dataset with fuzzy logic, genetic algorithm and particle swarm optimization.☆11Updated 5 years ago
- This repository consists of collaborative filtering Recommender systems like Similarity Recommenders, KNN Recommenders, using Apple's Tur…☆9Updated 11 months ago
- Sales forecasting for the supply chain industry.☆11Updated 3 years ago
- Ensemble Machine Learning for Time Series: Ensemble of Deep Recurrent Neural Networks and Random forest using a Stacking (averaging) laye…☆35Updated 7 years ago
- Multi-step Time Series Forecasting with ARIMA, LightGBM, and Prophet☆24Updated last month
- Feature selection based on Fuzzy Rough Set in Matlab☆14Updated 4 years ago
- attention mechanism in keras, like Dense and RNN...☆20Updated 6 years ago
- Predicting if a employee is going to leave☆9Updated 7 years ago
- An Efficient Gaussian Kernel Based Fuzzy-Rough Set Approach for Feature Selection☆11Updated 6 years ago
- Insurance Claim Prediction using Machine Learning - Udacity Nanodegree Capstone Project☆14Updated 8 years ago
- Why are our best and most experienced employees leaving prematurely?☆12Updated 7 years ago
- Intrusion Detection is a technique to identify the abnormal behavior of system due to attack. The unusual behavior of the environment is …☆27Updated 7 years ago
- Illustrating a typical Predictive Maintenance use case in an Industrial IoT Scenario. By using Statistical Modelling and Data Visualizati…☆22Updated 2 years ago
- A tensorflow implementation of informative generative adversarial network (InfoGAN ) to one dimensional ( 1D ) time series data with a su…☆29Updated 6 years ago
- A machine learning model for predicting delayed deliveries in the supply chain of USAID, and forecasting the delay time of a potential de…☆10Updated 5 years ago
- In this project I developed LSTM models for uni-variate , multivariate , multi-step time series forecasting.☆11Updated 4 years ago
- Matlab source code of the paper "Y. Cui, D. Wu* and J. Huang*, "Optimize TSK Fuzzy Systems for Classification Problems: Mini-Batch Gradie…☆14Updated 3 years ago
- Company has a fleet of devices transmitting daily aggregated telemetry attributes.Predictive maintenance techniques are designed to help …☆15Updated 3 years ago
- ProFeld: survival analysis, predictive maintenance, churn analysis, and remaining useful life prediction in Python☆22Updated last year
- HW1 for CS 687 - Time series clustering using dynamic time warping (DTW)☆10Updated 7 years ago
- I used six classification techniques, artificial neural network (ANN), Support Vector Machine (SVM), Decision tree (DT), random forest (R…☆36Updated 2 years ago
- dempster_shafer theory is used to integrate the RSS data processed by multiple machine learning algorithms☆15Updated 7 years ago
- Adaptive neuro fuzzy inference system from scratch. All codes inside, no dependency☆26Updated 6 years ago
- Stock Price Prediction of any Organizations using SVR☆18Updated 5 years ago