FatemehVahabi
Hello! I am Fatemeh Vahabi, artificial intelligence master student in the University of Isfahan. I am interested in NLP ,Speech, Data Mining , Machine Learning.
Iran , Isfahan
Pinned Repositories
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Analyzing-Covid19
Cartoonify-using-OpenCV
Detect-diabetes-using-pima---keras
Genetic-Algorithm
Investigating and analyzing the performance of evolutionary search in different conditions to solve some benchmark problems that can be displayed in binary and numerical form
Genetic-Algorithm-for-Neural-Architecture-Search
Neural Architecture Search is a method for automating the design of deep neural networks that is widely used in the field of machine learning. NAS is usually used to design networks that perform better than manually designed architectures.
HW1-DSEafrica
MultiObjective_Vehicle-Routing-Problem_GeneticAlgorithm
The purpose of this exercise is to model and solve the routing problem of the non-destructive vehicle in multi-objective mode using evolutionary algorithms.
NLP-task-on-YouTube-Dataset
Comparison of stemming, lemming and error correction
Predicting-weather-situation
I have done some data mining on weather data set and trained 5 machine learning models on this data set and will share the codes here.
FatemehVahabi's Repositories
FatemehVahabi/Genetic-Algorithm
Investigating and analyzing the performance of evolutionary search in different conditions to solve some benchmark problems that can be displayed in binary and numerical form
FatemehVahabi/Genetic-Algorithm-for-Neural-Architecture-Search
Neural Architecture Search is a method for automating the design of deep neural networks that is widely used in the field of machine learning. NAS is usually used to design networks that perform better than manually designed architectures.
FatemehVahabi/MultiObjective_Vehicle-Routing-Problem_GeneticAlgorithm
The purpose of this exercise is to model and solve the routing problem of the non-destructive vehicle in multi-objective mode using evolutionary algorithms.
FatemehVahabi/HW1-DSEafrica
FatemehVahabi/NLP-task-on-YouTube-Dataset
Comparison of stemming, lemming and error correction
FatemehVahabi/Predicting-weather-situation
I have done some data mining on weather data set and trained 5 machine learning models on this data set and will share the codes here.
FatemehVahabi/-
FatemehVahabi/Analyzing-Covid19
FatemehVahabi/Cartoonify-using-OpenCV
FatemehVahabi/Detect-diabetes-using-pima---keras
FatemehVahabi/Get-queries-from-car-dataset-using-pandas-and-numpy
FatemehVahabi/HW1_Machine-Learning
FatemehVahabi/HW4-DSEafrica
FatemehVahabi/HW4_MachineLearning
FatemehVahabi/HW5-DSEafrica
FatemehVahabi/IMDB-using-keras
FatemehVahabi/mnist-keras
FatemehVahabi/MsFPOP_paper
FatemehVahabi/NLP-task-on-IMDB-dataset
FatemehVahabi/NLP-task-on-MUSIC-Dataset
FatemehVahabi/Predicting-car-price
FatemehVahabi/predicting-flower-type-using-keras-and-tensorflow
FatemehVahabi/Predicting-outliers-in-NSL-KDD
The NSL-KDD dataset is a widely used dataset in the field of intrusion detection and network security. I trained 5 machine learning models on this dataset and achieved varying accuracies. The best accuracy was related to the decision tree model with an accuracy of 90%.
FatemehVahabi/Predicting-the-price-of-House-Kaggle
FatemehVahabi/RFM-and-DataVisualization-on-Airbnb-dataset