Applying Machine Learning Concepts on Irish Flower Dataset using Sci-Kit
We start by creating Hello World project in ML. Here it is not literally Hello World but using Supervised technique and two features. We identify wheather a fruit is apple or orange.
Next we visualize the tree to understand how the DecisionTree takes decision. Code provided will generate pdf file of the Tree logic used on the dataset of Iris Flower.
Next up we decide on important features to be included in a domain by analyzing data and plotting a graph to undesratnd its impact. We have taken example of dog's height as we are focusing on identifying the difference between Dog's Breed GreyHound and Labrador.
We then compare the Irish dataset using various techinique like KNeighbor and Decision Tree etc.. to measure the accuracy of the data being learned.
So, I implemented a classifier on my own similar to KNN K nearest neighbours where k = 1 as we find the closest point and assign the label. We have done that using euclidean formula to find the distance between test_point and all the training points to find the shortest distance.