Khaled Eyada's repositories
customer-segments
analyze a dataset containing data on various customers' annual spending amounts (reported in monetary units) of diverse product categories for internal structure.
Dog-Breed-Classifier-CNN
build a pipeline to process real-world, user-supplied images. Given an image of a dog, your algorithm will identify an estimate of the canine’s breed. If supplied an image of a human, the code will identify the resembling dog breed
Data-Analysis-NanoDegree-2.0
Udacity FWD2.0 advanced data analysis nano degree connect sessions
Mont-Carlo-methods
implementations of many Monte Carlo (MC) algorithms.
transfer-learning
train a CNN to classify dog breeds.
mnist-mlp
train an MLP to classify images from the MNIST database.
conv-visualization
visualize four activation maps in a CNN layer.
cifar10-classification
train a CNN to classify images from the CIFAR-10 database.
cifar10-augmentation-CNN
train a CNN on augmented images from the CIFAR-10 database.
titanic-survival-exploration
in this githubrepo I;m putting all AI models I've worked on