hi
I've trained models with lr ,svm-linear and kernel , random forest , adaboost , majority vote classifier , sdgclassifier , neural network , cnn, rnn, using dimension reduction techniques as pcr ,lda and i also know how to tune hyperparametes by using cross validation amd stratified cross validation. I can also plot a graph describing whether we need more data or not for better accuracy. I also know to do stochastic gradient , out of core learnign and gradient descent. I know how to code all the above and even by using sklearn
programming language: python
libraries: pandas, dataframe, numpy, scipy, sklearn, keras, tensor flow.