toniesteves / sw-effort-predictive-analysisLinks
In this project, Basic Machine Learning concepts were built on Desharnais dataset to built a software effort estimation model using a linear regression model. This statistical model was developed using a non-parametric linear regression algorithm based on the K-Nearest Neighbours (KNN).
☆10Updated 7 years ago
Alternatives and similar repositories for sw-effort-predictive-analysis
Users that are interested in sw-effort-predictive-analysis are comparing it to the libraries listed below
Sorting:
- In this project work, the main motive is to build a deep learning model to detect air pollution from real-time images. In order to achiev…☆11Updated 4 years ago
- This is a simple bot which automatically log you in to your scheduled meeting. So there will be no more hassle for you to join any meetin…☆11Updated 4 years ago
- This Machine Learning project deals with Coupon Recommendations based on Revenue Uplift☆11Updated 4 years ago
- Student Enrollment and Performance Analysis. This project is aim to analyse student performance and enrolment. We have collected raw dat…☆10Updated 4 years ago
- Every customer wants the best price, on the other hand, every retailer wants the best margin with customer satisfaction and an increase i…☆10Updated 2 years ago
- This project is based on Data-mining and Machine Learning technique using Python and Scikit-learn. It is used to predict Chronic Kidney D…☆16Updated 7 years ago
- PyTorch implementation for OCT-GAN Neural ODE-based Conditional Tabular GANs (WWW 2021)☆15Updated 3 years ago
- [ECIR 2024] Official repository for the paper titled "Self Contrastive Learning for Session-based Recommendation"☆21Updated last year
- Feature Selection using Simulated Annealing☆11Updated 3 years ago
- Graph Transformers for Large Graphs☆22Updated last year
- Hiding Text and Image inside an Image☆17Updated 4 years ago
- Fractals using Python 3☆10Updated 4 years ago
- Mitigating the Filter Bubble while Maintaining Relevance: Targeted Diversification with VAE-based Recommender Systems☆10Updated 2 years ago
- This is the repository for paper `Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks'.☆14Updated 2 years ago
- This repository reproduces the results in the paper "How expressive are transformers in spectral domain for graphs?"(published in TMLR)☆12Updated 3 years ago
- Spectral Graph Attention Network with Fast Eigen-approximation☆12Updated 3 years ago
- Topology Distillation for Recommender System (KDD'21)☆13Updated 4 years ago
- [NeurIPS 2023] The implementation of paper "Empowering Collaborative Filtering Generalization via Principled Adversarial Contrastive Loss…☆20Updated last year
- ☆11Updated 2 years ago
- ☆12Updated last year
- Wildfire prediction with machine learning. BridgeHacks Hackathon Winner (July 17-20, 2020)☆11Updated 4 years ago
- CuratorNet: Visually-aware Recommendation of Art Images☆13Updated 3 years ago
- NODE-SELECT: A Graph Neural Network Based On A Selective Propagation Technique☆21Updated 3 years ago
- A Benchmark Dataset for Multimodal Scientific Fact Checking☆23Updated last year
- This repository is made for WSN project in 2018. This repository contains all programs which are used on AQMS (Air Quality Monitoring Sys…☆13Updated 4 years ago
- An offical implementation of EHRDiff [TMLR]☆29Updated last year
- This project on "ARTGAN" is a simple generative adversarial network-based on art images using deep learning & PyTorch.☆20Updated 4 years ago
- The goal of this project is to build an RL-based algorithm that can help cab drivers maximize their profits by improving their decision-m…☆14Updated 4 years ago
- Implementation-based Projects in Data Mining and Machine Learning☆21Updated 2 years ago
- Self Supervised Learning for Time Series Using Similarity Distillation☆12Updated 3 years ago