## ML | Label Encoding of datasets in Python

In machine learning, we usually deal with datasets which contains multiple labels in one or more than one columns. These labels can be in the… Read More »

In machine learning, we usually deal with datasets which contains multiple labels in one or more than one columns. These labels can be in the… Read More »

Recommender System is a system that seeks to predict or filter preferences according to the user’s choices. Recommender systems are utilized in a variety of… Read More »

AI (Artificial Intelligence) is ahead of all of us, it’s ready to enter our day to day lives and is already being used in a… Read More »

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

Decision Tree is a decision-making tool that uses a flowchart-like tree structure or is a model of decisions and all of their possible results, including… Read More »

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

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 R Linear Regression: It is the basic and commonly used used type for predictive analysis.It is a statistical approach for modelling… 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 the recent time it has gained a lot of popularity because of… Read More »