Think Logically
Machine Learning algorithms unsatisfied problem with classifiers when faced with imbalanced datasets. Let’s take an example of the Red-wine problem. The Data we have is as: Here we have a data set in which we have different six categories, but not balanced categories. So, in the case available the samples are not equally balanced so …
Introduction Supervised machine learning has two types: 1) Regression, 2) Classification In regression, we deal with the continuous data type that means the predicted value or target value will be the type of continuous in nature but in classification problems, we basically deal with target value as discrete in nature it belongs to some class. Let’s understand some use …
Heteroscedasticity refers to the condition in which the variability of a variable is unequal across the range of values of a second variable that predicts it. A scatterplot of these variables will often create a cone-like shape, as the scatter (or variability) of the dependent variable (DV) widens or narrows as the value of the independent …
Decision Trees (DTs) are a non-parametric supervised learning method used for classification and regression. It works for both categorical and continuous input and output variables. It is a non-parametric algorithm. It uses the following algorithms. 1- ID3: ID3 uses Entropy and Information gain to construct a decision tree. 2- Gini Index (, if we select two items from a population …
KNN is another supervised classification technique, which makes no assumption of distribution of data. It is a non-parametric algorithm.It is the simplest technique of classification, the algorithm used for this technique is as: Algorithm Let m be the number of training data samples. Let p be an unknown point. Store the training samples in an …
CNN stands for convolutional neural network. It is mostly used for developed for object recognition tasks such as handwritten digit recognition. There are four types of layers in a Convolutional Neural Network: 1. Convolutional Layers. 2. Pooling Layers. 3. Fully-Connected Layers. 4.Dropout layers. CNN is just a function which operates on another function in the below …