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Writing Some Apps!
:octocat:
Writing Some Apps!

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AboNady/README.md
  • 👋 Hi, I’m Nady
  • 👀 I’m interested in Machine Learning
  • 🌱 I’m currently learning Deep Learning
  • 💞️ I’m looking to collaborate on Supervised, Unsupervised, CV, NLP or any realted field
  • 📫 How to reach me MahmoudNadyDarwish@gmail.com

Popular repositories

  1. SVM_Spam_Classification SVM_Spam_Classification Public

    This a very simple SVM Spam Emails Classification problem, I used Sklearn library to train the model and get better results

    Python 1

  2. Simple_Linear_Regression_From_Scratch Simple_Linear_Regression_From_Scratch Public

    I have applied the fundamental idea of Linear Regression with Single Variable input. I implemented the Gradian Descent algorithm simply from scratch with no libraries such as Scikit-Learn. I just u…

    Python 1

  3. K_Means_From_Scratch K_Means_From_Scratch Public

    An implementation of the basic idea of K-Means from scratch.

    Python 1

  4. Titanic_Classification Titanic_Classification Public

    In this challenge, I build a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (ie name, age, gender, socio-economic class, etc).

    Python 1

  5. FMNIST_CNN FMNIST_CNN Public

    This project is a convolutional neural network (CNN) built using PyTorch that classifies images from the Fashion-MNIST dataset. The network consists of several layers including convolutional layers…

    Jupyter Notebook 1

  6. Neural_Network_From_Scratch Neural_Network_From_Scratch Public

    This is the code of a Neural Network built from scratch without any libraries other than NumPy to deal with matrices and to handle the Linear Algebra part.

    Python 2