ML A-Z. Code examples from the Machine Learning A-Z course in Python and R.
github.com/tanvirrazin/Machine-Learning-A-Z-Udemy
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Updates
April 2017
- Implemented XGBoost in Python and R
- Changed grid-search implementation
- Implemented grid_search in R
- Implemented Grid search in python
- Implemented K-Fold Cross validation in R
- Changed implementation
- Implemented K-Fold Cross Validation in Python
- Implemented kernel PCA in R
- Implemented Kernel PCA in Python
- Implemented LDA in R
- Implement LDA with Python
- Implemented PCA in R
- Implemented PCA in Python
- Implemented convolutional neural network with Python
- Implemented ANN in R
- Implemented ANN in python with tensorflow based keras
- Implemented random-forest-classifier to train with sparse matrix and …
- Cleaned texts and build corpus in R
- Classified texts with Gaussian-Naive-Bayes classifier and saw confusi…
- Made Bag of Words model in python