Principal Component Analysis is basically a statistical procedure to convert a set of observations of possibly correlated variables into a set of values of linearly… Read More

# Category Archives: Machine Learning

Polynomial Regression is a form of linear regression in which the relationship between the independent variable x and dependent variable y is modeled as an… Read More

Recurrent Neural Network(RNN) are a type of Neural Network where the output from previous step are fed as input to the current step. In traditional… Read More

Boston Housing Data: This dataset was taken from the StatLib library and is maintained by Carnegie Mellon University. This dataset concerns the housing prices in… Read More

Normal Equation is an analytical approach to Linear Regression with a Least Square Cost Function. We can directly find out the value of θ without… Read More

Prerequisite: Simple Linear-Regression using RLinear Regression: It is the basic and commonly used type for predictive analysis. It is a statistical approach for modeling the relationship… Read More

This is Ordinary least squares Linear Regression from sklearn.linear_module. Syntax : sklearn.linear_model.LinearRegression(fit_intercept=True, normalize=False, copy_X=True, n_jobs=1): Parameters : fit_intercept : [boolean, Default is True] Whether to… Read More

Suppose we are given a dataset Given is a Work vs Experience dataset of a company and the task is to predict the salary of… Read More

In linear regression, the model targets to get the best-fit regression line to predict the value of y based on the given input value (x).… Read More

CNN is basically a model known to be Convolutional Neural Network and in recent times it has gained a lot of popularity because of its… Read More

Association rule mining finds interesting associations and relationships among large sets of data items. This rule shows how frequently a itemset occurs in a transaction.… Read More

Tensorflow is an open-source machine learning library developed by Google. One of its applications is to developed deep neural networks. The module tensorflow.nn provides support… Read More

Linear Regression is a machine learning algorithm based on supervised learning. It performs a regression task. Regression models a target prediction value based on independent… Read More

In machine learning, while working with scikit learn library, we need to save the trained models in a file and restore them in order to… Read More

Natural language processing (NLP) is an area of computer science and artificial intelligence concerned with the interactions between computers and human (natural) languages, in particular… Read More