Category: Machine Learning blog

Decision tree Decision tree is a type of supervised learning algorithm that is mostly used in classification problems. It works for both categorical and continuous input and output variables. In this technique, we split the population into two or more Read More …

What is logistic regression? Logistic regression a classification algorithm used for binary classification given a set of independent variables. The output variables will be categorical like (yes/no), (0 or 1) etc. it predicts the probability of occurrence of an event Read More …

Overfitting overview Overfitting of a model means that the model is too well trained i.e. it takes the noises and fluctuations in the training data as a set of observations to train the model, due to this the model’s ability Read More …

What is a linear regression? linear regression gives the relationship between the variables i.e dependent variable and independent variable. The dependent variable is continuous and the independent variable may be continuous or discrete linear regression is classified into two types: Read More …

Introduction to ML Model. Performing machine learning involves creating model, which is trained on some training data and then can process additional data to make predictions. A machine learning model can be a mathematical representation of a real-world application. To Read More …

What is machine learning? Machine learning is an application that can make the system to give the output from the past experiences. it is the process of making the system to learn from the past experiences without being explicitly programmed. Read More …