fatemehvahabi Goto Github PK

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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.

get-queries-from-car-dataset-using-pandas-and-numpy

hw1-dseafrica

hw1_machine-learning

hw4-dseafrica

hw4_machinelearning

hw5-dseafrica

imdb-using-keras

mnist-keras

msfpop_paper

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-imdb-dataset

nlp-task-on-music-dataset

nlp-task-on-youtube-dataset

Comparison of stemming, lemming and error correction

predicting-car-price

predicting-flower-type-using-keras-and-tensorflow

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%.

predicting-the-price-of-house-kaggle

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.

rfm-and-datavisualization-on-airbnb-dataset