Skip to content

Latest commit

 

History

History
91 lines (72 loc) · 2.89 KB

README.md

File metadata and controls

91 lines (72 loc) · 2.89 KB
Raw

🤖 Neural Network Labs

📝 Table of Contents

📙 Overview

  • My solutions to practice labs in Neural Network labs in Computer engineer department at Cairo University

  • The Content
    • Python Review (Link)
      • Operators
      • DataTypes
      • Containers
      • Flow Control Statements
      • Functions
      • Numpy
      • Pandas
      • MatPlot Lib
    • Density Estimation Techniques (Link)
      • Classification of multivariate data
      • The Bayes classification rule
    • Bayesian Classifier (Link)
      • Implement and assess the performance of the Bayesian Classifier
      • Machine Learning Terminlology
    • Density Estimation (Link)
      • Implement one of the density estimation methods
      • Choose a suitable bump function (Parzen window)
    • Principal Component Analysis (Link)
      • Implementing PCA
      • Dimensionality Reduction with PCA
      • Projecting the data onto the principal components
      • Reconstructing an approximation of the data
      • Visualizing the projections
    • AdaBoost Classifier (Link)
      • Classifiers Boosting Algorithms
      • Implementing Adaboost_classifier

👑 Contributors



Eslam Ashraf

🔒 License

Note: This software is licensed under MIT License, See License for more information ©EslamAsHhraf.