This repository has been created just for warm-up in machine learning and there are my simulation files of UT-ML course HWs. Relevent topics to each HW are:
Bayes Classification, MLE & MAP, Confusion Matrix
Logistic & Linear Regression, Density Estimation (Parzen), KNN, Bias-Variance Tradeoff, Regularization
Neural Networks, Convolutional Neural Networks, MADALINE, Decision Tree
LDF, SVM, Ensemble Learning, AdaBoost
Dimension Reduction, PCA, LDA, Clustering, K-means, EM, GMM
. Press the Fork button in order to save copy of this repo on your account.
. Download the files by pressing download button or clone this repo by the the following command in your git bash:
https://github.com/Taabannn/intro-ml.git
. Open project in jupyter notebook or google colab.
. Make a new branch.
git checkout -b branch-name
. Make new changes of repository on new branch.
. Push the changes.
git add .
git commit -m "Your commit Message"
git push origin branch-name
. Make a pull request.
. ⭐ this repository.