{"id":22492324,"url":"https://github.com/asifhaider/machine-learning-4-2","last_synced_at":"2025-03-27T20:25:50.786Z","repository":{"id":212112745,"uuid":"730704392","full_name":"asifhaider/Machine-Learning-4-2","owner":"asifhaider","description":"Machine Learning Course Assignments from Scratch (Exploratory Data Analysis, Logistic Regression, Adaboost, Feed Forward Neural Network, EM Algorithm, Gaussian Mixture Models, Singular Value Decomposition, Image Reconstruction, Principal Component Analysis)","archived":false,"fork":false,"pushed_at":"2024-07-13T17:03:45.000Z","size":6906,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-01T22:47:57.750Z","etag":null,"topics":["adaboost","eda","em-algorithm","gaussian-mixture-models","logistic-regression","neural-network","pca-analysis","preprocessing","singular-value-decomposition"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/asifhaider.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2023-12-12T13:51:02.000Z","updated_at":"2024-08-24T16:44:30.000Z","dependencies_parsed_at":"2023-12-12T16:48:04.597Z","dependency_job_id":null,"html_url":"https://github.com/asifhaider/Machine-Learning-4-2","commit_stats":null,"previous_names":["asifhaider/machine-learning-4-2"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/asifhaider%2FMachine-Learning-4-2","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/asifhaider%2FMachine-Learning-4-2/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/asifhaider%2FMachine-Learning-4-2/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/asifhaider%2FMachine-Learning-4-2/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/asifhaider","download_url":"https://codeload.github.com/asifhaider/Machine-Learning-4-2/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245918316,"owners_count":20693687,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["adaboost","eda","em-algorithm","gaussian-mixture-models","logistic-regression","neural-network","pca-analysis","preprocessing","singular-value-decomposition"],"created_at":"2024-12-06T18:17:10.300Z","updated_at":"2025-03-27T20:25:50.763Z","avatar_url":"https://github.com/asifhaider.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Machine-Learning-Course-Assignments\n\n## Assignment 1: Linear Algebra for Machine Learning\n\n* **Matrix Transformation**\n    - [Notebook Link](/Linear-Algebra-For-ML/matrix-transformations-and-eigen-decomposition.ipynb)\n* **Eigen Decomposition**\n    - Decomposition and reconstruction of [invertible](/Linear-Algebra-For-ML/random_eigen.py) and [invertible symmetric](/Linear-Algebra-For-ML/symmetric_eigen.py) matrices\n\n![svd image](/Linear-Algebra-For-ML/svd.png)\n\n* **Singular Value Decomposition**\n    - Reconstructing a book cover image using [singular value decomposition](/Linear-Algebra-For-ML/image_reconstruction.py) with varying ranks\n\n## Assignment 2: Logistic Regression and Adaboost for Classification\n\n- **Data Preprocessing**\n\n![1](/Logistic-Regression-Adaboost/1.png)\n    - [Telco Customer Churn Notebook](/Logistic-Regression-Adaboost/eda-1.ipynb)\n\n![2b](/Logistic-Regression-Adaboost/2b.png) \n    - [Census Income Train Notebook](/Logistic-Regression-Adaboost/eda-2a.ipynb), [Census Income Test Notebook](/Logistic-Regression-Adaboost/eda-2b.ipynb)\n\n![3](/Logistic-Regression-Adaboost/3.png)\n    - [Credit Card Fraud Notebook](/Logistic-Regression-Adaboost/eda-3.ipynb)\n- **Adaboost with Logistic Regression from Scratch**\n    - [Python Code](/Logistic-Regression-Adaboost/1805112.py)\n- **Results and Discussion**\n    - [Report Link](/Logistic-Regression-Adaboost/1805112.pdf)\n\n## Assignment 3: Feed Forward Neural Network from Scratch\n\n![Model Layers](/Neural-Network-From-Scratch/fnn_1.png)\n\n- Layer Abstractions (Dense, ReLU, Softmax, Dropout) with Forward and Backward Propagations: [Neural Network Backbone Code](/Neural-Network-From-Scratch/nn_1805112.py)\n\n![Training Photo](/Neural-Network-From-Scratch/train-eval-loss.png)\n\n- Loss function, Evaluation Metric, Loading, Preprocessing, Training, Evaluation and Plotting: [Training Code](/Neural-Network-From-Scratch/train_1805112.py)\n\n![Results](/Neural-Network-From-Scratch/confusion.png)\n\n- Inference: [Testing Code](/Neural-Network-From-Scratch/test_1805112.py)\n- [Report Link](/Neural-Network-From-Scratch/report_1805112.pdf)\n\n## Assignment 4: Expectation-Maximization (EM) Algorithm with Gaussian Mixture Models (GMM)\n\n![2D1](/Gaussian-Mixture-Models-EM-Algo//2D_data_points_1_GMM_3.png) ![2D2](/Gaussian-Mixture-Models-EM-Algo/2D_data_points_2_GMM_5.png) ![3D](/Gaussian-Mixture-Models-EM-Algo/3D_data_points_GMM_4.png) ![6D](/Gaussian-Mixture-Models-EM-Algo/6D_data_points_GMM_5.png) ![100D](/Gaussian-Mixture-Models-EM-Algo/100D_data_points_GMM_3.png)\n\n- Principal Component Analysis (PCA), Expectation-Maximization Algorithm, Log-likelihood Calculation: [Python Code](/Gaussian-Mixture-Models-EM-Algo/1805112.py)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fasifhaider%2Fmachine-learning-4-2","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fasifhaider%2Fmachine-learning-4-2","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fasifhaider%2Fmachine-learning-4-2/lists"}