implementing decision Tree, KNN, bayesian, artificial neural network from scratch and three SVMs on IRIS dataset

implementing from scratch 1-activation functions 2-layer implements 3-backpropagation

model(dims=[number of each layer neurons from first to last])

implementing from scratch using 3 types of distances: 1-euclidean 2-manhattan 3-cosine

using in https://github.com/Suji04/ML_from_Scratch/blob/master/decision%20tree%20classification.ipynb

implementing 3 types of SVM from sklearn library: 1-linear 2-polynomial 3-RBF and compare some of these accuracies

implementing from scratch: using gaussian naive bayesian