Pinned Repositories
A-Comprehensive-Study-of-Blood-Parameters-for-Disease-Classification
Arima-and-Sarima-Models
In this project I used R programming language and Arima and Sarima models.
Bayesian-Logistic-Regression-Model
This analysis is based on the multivariate normal prior
Bayesian-Network-Tabu-search-algorithm
Face-Similarity-Detection
Using the PCA (Principal Component Analysis) in order to recognize the similarity of the gray-scale faces dataset.
Fast-Fingers
In this project I used C++ programming language and measuring typing speed by showing up a word and checking whether the word is entered correctly or not during 60 seconds. If a word is not fully correct, you will hear a beep sound.
Generalized-Linear-Model
GIS
I used R programming language and Pearson correlation coefficient test in order to analyze the parameters to check if the water is appropriate for either drinking or agricultural usage.
Heteroscedastic-Weighted-Least-Squares
Machin-Learning
aryanrzn's Repositories
aryanrzn/A-Comprehensive-Study-of-Blood-Parameters-for-Disease-Classification
aryanrzn/Arima-and-Sarima-Models
In this project I used R programming language and Arima and Sarima models.
aryanrzn/Bayesian-Logistic-Regression-Model
This analysis is based on the multivariate normal prior
aryanrzn/Bayesian-Network-Tabu-search-algorithm
aryanrzn/Face-Similarity-Detection
Using the PCA (Principal Component Analysis) in order to recognize the similarity of the gray-scale faces dataset.
aryanrzn/Fast-Fingers
In this project I used C++ programming language and measuring typing speed by showing up a word and checking whether the word is entered correctly or not during 60 seconds. If a word is not fully correct, you will hear a beep sound.
aryanrzn/Generalized-Linear-Model
aryanrzn/GIS
I used R programming language and Pearson correlation coefficient test in order to analyze the parameters to check if the water is appropriate for either drinking or agricultural usage.
aryanrzn/Heteroscedastic-Weighted-Least-Squares
aryanrzn/Machin-Learning
aryanrzn/Prediction-of-Family-Income-and-Expenditure
in this project, logistic regression, KNN, classification trees, random forests and neural network were used.
aryanrzn/Predicting-Bike-Sharing
aryanrzn/Survival-Analysis-of-Lung-Dataset