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

Deep Learning Techniques with Codes and Presentations

  Techniques Prepared by Python Code Presentation
1 .py .pptx