https://github.com/ayeshathoi/machine-learning-472

machine learning sessional works
https://github.com/ayeshathoi/machine-learning-472

adaboost fnn-from-scratch gmm-em logistic-regression pca-analysis svd

Last synced: 1 day ago
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machine learning sessional works

• Host: GitHub
• URL: https://github.com/ayeshathoi/machine-learning-472
• Owner: ayeshathoi
• Created: 2023-12-07T14:42:12.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-06-24T11:13:14.000Z (6 months ago)
• Last Synced: 2024-11-08T20:15:06.166Z (about 2 months ago)
• Topics: adaboost, fnn-from-scratch, gmm-em, logistic-regression, pca-analysis, svd
• Language: Jupyter Notebook
• Homepage:
• Size: 7.72 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
 # **`Machine Learning Sessional`**

 

## **`CSE 472` : Machine Learning Sessional**

- [**Matrix Transformation, Eigen Decomposition & Image Reconstruction using SVD**](https://github.com/ayeshathoi/Machine-Learning-Session-472/tree/main/ML%20offline%201)

 - 4 basic tasks 

- [**Logistic Regression and AdaBoost for classification**](https://github.com/ayeshathoi/Machine-Learning-Session-472/tree/main/ML%20Offline%202)

 - Worked on 3 datasets for classification task

 - Learned about data pre-processing

 - Performance measure : Accuracy, Sensitivity, Specificity, Precision, False discovery rate, F1 score

 - Measured performance changing boosting rounds  

- [**Feed Forward Network from Scratch**](https://github.com/ayeshathoi/Machine-Learning-Session-472/tree/main/ML%20offline%203)

 - Activation Function : Relu, Softmax, tanh

 - Loss Function : L1 Loss, L2 Loss, Binary Cross Entropy Loss  

 - ![image](https://github.com/ayeshathoi/Machine-Learning-Session-472/assets/79919256/9299dda6-d550-4a99-a4dc-0aace29789dd) 

- [**Assignment on PCA and EM Algorithm**](https://github.com/ayeshathoi/Machine-Learning-Session-472/tree/main/ML%20offline%204)

  -   2D, 3D and 6D data points

  -   Estimation of Clusture