accuracy-analysis
There are 15 repositories under accuracy-analysis topic.
ParthS007/Loan-Approval-Prediction
Loan Application Data Analysis
OSSpk/Handwritten-Digits-Classification-Using-KNN-Multiclass_Perceptron-SVM
đ A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.
sasivatsal7122/Your-Sugar-Daddy---ML_APP
A powerful Multi Page web application which can diagnose and predict diabetic symptoms and calculates pre risk diabetic features warning the user with an Interactive user friendly UI
msadeqsirjani/SYSYS
Program an IR (information retrieval) system based on tagged datasets
johannesuhl/local_accuracy
A set of python scripts for spatially explicit accuracy assessments of binary, gridded geospatial data, e.g., for human settlement data mapping built-up (1) and not built-up (0) areas.
RaviRam-Gummuluri/Genetic-Algorithms-for-hyperparameter-tuning
This is implementation of customized bio-inspired algorithms for hyperparameter tuning of a custom-ANN, space and time complexity analysis of those bio inspired algos viz. ant-colony (contributed by me), swarm-bee and genetic algo and to compare their accuracies. ANN classifies if patient is prone to heart disease
codelion/ellora
Enhancing LLMs with LoRA
Squad8-Escribo/CorridaDaLeitura
Um sistema lĂșdico e gameficado para a avaliação da fluĂȘncia e precisĂŁo de leitura. Para jogar, basta clicar no link abaixo:
Cintia0528/Data_Science-Supervised_Machine_Learning_Classification_Mushrooms
This project aims to identify the inevitable trade-off between accuracy and safety when predicting poisonous mushrooms with ML.
JeffWarnimont/8_Class_Barnyard_Animal_Image_Classifier
This is a deep learning CNN image classifier written in Python in the JupyterLab environment.
ksheersagaragrawal/LotteryTicketPruning
Study and Implementation of various neural network pruning techniques. Extending the lottery ticket hypothesis to structured pruning for accelerated training while maintaining uncertainty and accuracy. The focus is on simplifying the model's complexity without sacrificing its overall performance or leading to overfitting.
PushA308/FaceRecA
Attendance marking of student's using face recognition in machine learning
fatton139/Accuracy-of-Numerical-Methods-to-Diffusion-Equations
COSC2500 2018 | Numerical analysis of diffusion equations.
Jimoh1993/TakenMind-Inc-Intership
TakenMind Global Internship Program is recognized under United Nations Sustainable Development and Growth (SDG) and is a highly recognized International Certification Program. - Reference Link to the United Nations SDG #26437 TakenMind Program. TakenMind (powered by United Nations SDG Program) is offering a Global Internship in Data Analytics and Management.