Now that we have the building blocks for a kNN model, let’s look at the Perceptron algorithm. 1.2 Sub-model #2: Perceptron The model for the Perceptron algorithm is a set of weights learned from the training data. In order to train the weights, many predictions need to be made on the...
Day 6 (14-09-18) Decision Tree(Entropy and Information gain) and KNN Completed the Decision Tree mini-project Learnt about the K-Nearest Neighbours classifier and implemented the same Day 7 (15-09-18) K-Nearest Neighbours Implemented the KNN classisier after referring to this Medium article ...