https://github.com/surajiyer/machine-learning
Foundation of data mining, 2016-17
https://github.com/surajiyer/machine-learning
clustering convolutional-neural-networks deep-learning keras machine-learning recurrent-neural-networks regression tensorflow
Last synced: 2 months ago
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Foundation of data mining, 2016-17
- Host: GitHub
- URL: https://github.com/surajiyer/machine-learning
- Owner: surajiyer
- Created: 2017-06-14T17:19:41.000Z (about 9 years ago)
- Default Branch: master
- Last Pushed: 2018-09-01T04:39:08.000Z (almost 8 years ago)
- Last Synced: 2025-02-04T18:50:55.309Z (over 1 year ago)
- Topics: clustering, convolutional-neural-networks, deep-learning, keras, machine-learning, recurrent-neural-networks, regression, tensorflow
- Language: Jupyter Notebook
- Size: 24.8 MB
- Stars: 0
- Watchers: 2
- Forks: 2
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Machine-learning
This repository contains notebooks and other files associated with my class on *Foundation of data mining (2016-17)* from Eindhoven University of Technology.
- **Assignment 1**: Model selection, KNN, Logistic Regression, LinearSVC, Regularization, L1/L2 penalties, Stratified sampling, Bootstrapping, GridSearchCV, heatmap, AUC, RandomForest, Nested cross-validation, Decision tree
- **Assignment 2**: SVM Kernel selection (Linear/polynomial/RBF), RandomizedSearchCV, Pipelines, Imputation, One hot encoding, Standard scaling, Gaussian process
- **Assignment 3**: Dimensionality reduction, random projection, multi-class confusion matrix, PCA, Hyperplane projection, Locality-sensitive hashing
- **Assignment 4**: Neural networks, backpropogation, Keras, Deep models design, Convolutional neural network (CNN), Recurrent neural network (RNN)