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Fatima-Ezzahra's Projects

befinalproject icon befinalproject

A fruit detection and quality analysis using Convolutional Neural Networks and Image Processing

core icon core

:house_with_garden: Open source home automation that puts local control and privacy first.

dataquest icon dataquest

This repository contains guided projects from Dataquest's Data Scientist path.

deep-learning-v2-pytorch icon deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deeplearning-challenges icon deeplearning-challenges

This repository includes #MyLoveSong and Style Transfer Challenges from the Study Jam in the Bertelsmann Scholarship at Udacity.

django-two-factor-auth icon django-two-factor-auth

Complete Two-Factor Authentication for Django providing the easiest integration into most Django projects.

dog-breed-classification icon dog-breed-classification

In this project, weo build a pipeline that can be used within a web or mobile app to process real-world, user-supplied images. Given an image of a dog, the 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.

face-generation icon face-generation

In this project, we'll define and train a DCGAN on a dataset of faces. Our goal is to get a generator network to generate new images of faces that look as realistic as possible!

fatiima-ezzahra icon fatiima-ezzahra

Fatiima-Ezzahra/Fatiima-Ezzahra is a special repository. Its README.md will appear on your public profile!

nvidia-deep-learning-course icon nvidia-deep-learning-course

The course Getting Started with Deep Learning is an introduction Deep Learning, its history, and its various applications such as Computer Vision, Natural Language Processing, etc.

operationalizing-machine-learning-in-azure icon operationalizing-machine-learning-in-azure

This project is part of the Udacity Azure ML Nanodegree. In this project, we use Azure to configure a cloud-based machine learning production model, deploy it, and consume it. We also create, publish, and consume a pipeline.

optimizing-an-ml-pipeline-in-azure icon optimizing-an-ml-pipeline-in-azure

This project is part of the Udacity Azure ML Nanodegree. In this project, we build and optimize an Azure ML pipeline using the Python SDK and a provided Scikit-learn model. This model is then compared to an Azure AutoML run.

tv-script-generation icon tv-script-generation

In this project, we generate our own Seinfeld TV scripts using RNNs. We'll be using part of the Seinfeld dataset of scripts from 9 seasons. The Neural Network we'll build will generate a new "fake" TV script, based on patterns it recognizes in this training data.

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