MohElaghory

Pinned Repositories

• Plotly-Dashboard---Timeseries-App

  [Dash Plotly - Stoke prices Time Series App] my dashboard enables the user to select one or more stocks from the dropdown. For each selected item, a line plot will be generated in the graph. By default, the dropdown menu has search functionalities, which makes the selection out of many available options an easy task.

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• -MNIST-dataset-CNN-Classification

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• -PCA-Principal-Component-Analysis

  Principal Component Analysis, or PCA, is a dimensionality-reduction method that is often used to reduce the dimensionality of large data sets, by transforming a large set of variables into a smaller one.

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• 6-World-Natural-Sciences-classes

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• 6World-Natural-Sciences-classes-in-VGG16-with-Flask-API

  In this repo, I trained the model in VGG pretrained model, Then I have Deployed it with Flask API

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• Car-Crashes-Severity-Prediction

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• Cats-Dogs-Image-Detection

  Cats & Dogs Recognition is one of ITI AI-pro track intake1 competitions on Kaggle platform. 🔥 🔥

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• Classify-Oldest-Surviving-Buildings-in-the-World-Using-Flask-API

  In this Repo, I Will Gather Data By Using Selenium Data Scraping Technique for image downloader to download around 16 different Categories , then We'll build CNN model for classification, and Finally Deploy this model by using FLASK API in a very Smart Application 🔥🔥🔥

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• Data-Augmantation--CNN

  Data augmentation in data analysis are techniques used to increase the amount of data by adding slightly modified copies of already existing data or newly created synthetic data from existing data. It acts as a regularizer and helps reduce overfitting when training a machine learning model.[1] It is closely related to oversampling in data analysis.

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• ETL-Dynamic-Pipelines-World-Bank-Datasets

  design, manage and optimize the flow of data with dynamic pipelines. This project uses data from the World Bank comes from two sources. you'll create a single Python module that creates a pipeline in these datasets, transforms them, and loads the results into the database all in dynamic pipelines. ✨🎯💥

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MohElaghory's Repositories