Artificial Intelligence is a piece of software that simulates the behaviour and judgement of a human or an organization that has experts in a particular… Read More
Category Archives: Machine Learning
Gradient Descent is a widely used optimization algorithm for machine learning models. However, there are several optimization techniques that can be used to improve the… Read More
Prerequisites: Introduction to ANN | Set-1, Set-2, Set-3 An Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the brain. ANNs,… Read More
Linear Regression: It is a commonly used type of predictive analysis. It is a statistical approach for modeling the relationship between a dependent variable and a… Read More
Introduction : Feature mapping is a technique used in data analysis and machine learning to transform input data from a lower-dimensional space to a higher-dimensional… Read More
As the number of features or dimensions in a dataset increases, the amount of data required to obtain a statistically significant result increases exponentially. This… Read More
sklearn.preprocessing.Binarizer() is a method which belongs to preprocessing module. It plays a key role in the discretization of continuous feature values. Example #1: A continuous data of… Read More
If you are an ML practitioner then you must have come across the term feature scaling which is considered as an unskippable part of the… Read More
Stemming is the process of producing morphological variants of a root/base word. Stemming programs are commonly referred to as stemming algorithms or stemmers. A stemming… Read More
Feature Scaling is a technique to standardize the independent features present in the data in a fixed range. It is performed during the data pre-processing. … Read More
Supervised learning: Supervised learning is the learning of the model where with input variable ( say, x) and an output variable (say, Y) and an… Read More
Feature Scaling or Standardization: It is a step of Data Pre Processing that is applied to independent variables or features of data. It helps to… Read More
Create a Linear Regression Model in Python using a randomly created data set. Linear Regression Model Linear regression geeks for geeks Generating the Training Set… Read More
What is a Tensor Processing Unit? With machine learning gaining its relevance and importance everyday, the conventional microprocessors have proven to be unable to effectively… Read More
Deep learning is a branch of machine learning which is based on artificial neural networks. It is capable of learning complex patterns and relationships within… Read More
