Machine Learning Techniques with Codes and Presentations
| Techniques | Prepared by | Python Code | Presentation | |
| 1 | Rule Based (RB) Classifier | Arooba Saeed | .py | .pptx |
| 2 | Decision Tree (DT) | .py | .pptx | |
| 3 | Logistic Regression (LR) | Sana Amjad | .py | .pptx |
| 4 | Perceptron | .py | .pptx | |
| 5 | Linear Discriminant Analysis (LDA) | Muhammad Nouman | .py | .pptx |
| 6 | Gradient Boosting (GB) | .py | .pptx | |
| 7 | K-Nearest Neighbor (KNN) Algorithm | Shakira Musa Baig | .py | .pptx |
| 8 | Stochastic Gradient Descent (SGD) Algorithm | .py | .pptx | |
| 9 | Passive Aggressive (PA) | Hajra Zareen | .py | .pptx |
| 10 | Support Vector Machine (SVM) | .py | .pptx | |
| 11 | Naive Bayes (NB) | Saba Awan | .py | .pptx |
| 12 | Quadratic Discriminant Analysis (QDA) | .py | .pptx | |
| 13 | eXtreme Gradient Boosting (eXGBoost) | Arshad Ali | .py | .pptx |
| 14 | Locally Weighted Regression (LWR) Classifier | .py | .pptx | |
| 15 | Adaptive Boosting (AdaBoost) Algorithm | Pamir | .py | .pptx |
| 16 | Case Based Reasoning (CBR) Algorithm | .py | .pptx |