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hanisalah/README.md
  • 👋 Hi, I’m @hanisalah I am a senior C&I manager of EPC works in thermal power plants engineering and more generally of infrastructure projects.
  • 👀 I’m interested in Programming and have experience with C++, Visual C, J2ME, Office VBA, Microstation VBA.
  • 🌱 I’m currently learning Python, Data Analysis and Machine Learning
  • 💞️ I’m looking to collaborate on Python projects, but I am also open to collaborate on more than just that.
  • 📫 Feel free to reach me at Hanisalah@hotmail.com

Below are some of the projects I have been working with:

  1. TMDB Movies Dataset Analysis
  2. A/B Testing
  3. US Flight Delay Data Visualization
  4. Predicting Bike Sharing Patterns
  5. Landmark Image Classification for Social Media
  6. Generate TV Script
  7. Generate Faces
  8. Sentiment Analysis Using Pytorch and AWS Sagemaker
  9. Monocular Measurement 3D
  10. Color By Numbers
  11. Advanced ML Analytics

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  1. Monocular_Measurement_3D Monocular_Measurement_3D Public

    streamlit app for object detection, 3d bounding box drawing, 3d bounding box real life measurement

    Python 3 1

  2. Flight_Delay_DataVisualization Flight_Delay_DataVisualization Public

    This is my project submission in Egyptian MCIT / ITIDA initiative FWD track; Data Analysis - Advanced provided by Udacity.

    HTML

  3. hanisalah hanisalah Public

    Future is Now!

    HTML

  4. TMDb_Dataset_Analysis TMDb_Dataset_Analysis Public

    This is my project submission in Egyptian MCIT / ITIDA initiative FWD track; Data Analysis - Professional provided by Udacity.

    Jupyter Notebook

  5. landmark_classification_and_tagging_for_social_media landmark_classification_and_tagging_for_social_media Public

    This is Udacity - Deep Learning course project 2 where a Convolutional Neural Network (CNN) is built and trained to classify image set into 50 classes depending on different landmarks in each image.

    HTML

  6. Generate-TV-Script Generate-TV-Script Public

    This is Udacity - Deep Learning Project 3 - Generate TV Script

    HTML