https://github.com/siavashshams/intelligent-systems-projects
Projects for the Intelligent Systems course
https://github.com/siavashshams/intelligent-systems-projects
birthday-problem central-limit-theorem decision-trees dynamic-programming gradient-descent hierarchical-clustering k-means-clustering knn logestic-regression naive-bayes-classifier neural-networks policy-iteration q-learning random-forest simulated-annealing svm-classifier value-iteration
Last synced: about 1 month ago
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Projects for the Intelligent Systems course
- Host: GitHub
- URL: https://github.com/siavashshams/intelligent-systems-projects
- Owner: SiavashShams
- Created: 2022-09-19T15:49:23.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2022-09-19T18:43:23.000Z (over 2 years ago)
- Last Synced: 2025-01-27T22:47:05.621Z (3 months ago)
- Topics: birthday-problem, central-limit-theorem, decision-trees, dynamic-programming, gradient-descent, hierarchical-clustering, k-means-clustering, knn, logestic-regression, naive-bayes-classifier, neural-networks, policy-iteration, q-learning, random-forest, simulated-annealing, svm-classifier, value-iteration
- Language: Jupyter Notebook
- Homepage:
- Size: 3.65 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Intelligent Systems Projects
Contents of each project
----------
## CA1
- Gradient descent
- Stochastic gradient descent
- Simulated annealing
- Support Vector Machines (SVM) classification
## CA2
- Decision trees
- Random forests
- KNN
- NCA
- LMNN
## CA3
- Neural networks for classification of CIFAR10
- Dropout
- Padding
- Stride
- Max-pooling
- ReLU
- Tanh
- Backpropagation
## CA4
- K-means clustering
- hierarchical clustering
- Logestic regression
- Central Limit Theroem
- Birthday problem
## CA5
- Naive Bayes classifier
- Dynamic programming
- Policy iteration
- Value iteration
- Q-learning