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