# Category Archives: Machine Learning

## Using CountVectorizer to Extracting Features from Text

CountVectorizer is a great tool provided by the scikit-learn library in Python. It is used to transform a given text into a vector on the… Read More »

## Multivariate Optimization and its Types – Data Science

Wikipedia defines optimization as a problem where you maximize or minimize a real function by systematically choosing input values from an allowed set and computing… Read More »

## Deep Neural Network With L – Layers

This article aims to implement a deep neural network with an arbitrary number of hidden layers each containing different numbers of neurons. We will be… Read More »

## Uni-variate Optimization – Data Science

Wikipedia defines optimization as a problem where you maximize or minimize a real function by systematically choosing input values from an allowed set and computing… Read More »

## CNN – Image data pre-processing with generators

The article aims to learn how to pre-processing the input image data to convert it into meaningful floating-point tensors for feeding into Convolutional Neural Networks.… Read More »

## ML – Different Regression types

Regression Analysis: It is a form of predictive modelling technique which investigates the relationship between a dependent (target) and independent variable (s) (predictor). To establish… Read More »

## Gini Impurity and Entropy in Decision Tree – ML

Machine Learning is a Computer Science domain which provides the ability to computers to learn without being explicitly programmed. Machine Learning is one of the… Read More »

## Shapiro–Wilk Test in R Programming

The Shapiro-Wilk’s test or Shapiro test is a normality test in frequentist statistics. The null hypothesis of Shapiro’s test is that the population is distributed… Read More »

## Python – Coefficient of Determination-R2 score

Coefficient of determination also called as R2 score is used to evaluate the performance of a linear regression model. It is the amount of the… Read More »

## One-vs-Rest strategy for Multi-Class Classification

Prerequisite: Getting Started with Classification/ Classification is perhaps the most common Machine Learning task. Before we jump into what One-vs-Rest (OVR) classifiers are and how… Read More »

## Multivariate Optimization with Equality Constraint

Wikipedia defines optimization as a problem where you maximize or minimize a real function by systematically choosing input values from an allowed set and computing… Read More »

## Unconstrained Multivariate Optimization

Wikipedia defines optimization as a problem where you maximize or minimize a real function by systematically choosing input values from an allowed set and computing… Read More »

## Item-to-Item Based Collaborative Filtering

Collaborative Filtering is a technique or a method to predict a user’s taste and find the items that a user might prefer on the basis… Read More »

## ML – Attention mechanism

Introduction: Assuming that we are already aware of how vanilla Seq2Seq or Encoder-Decoder models work, let us focus on how to further take it up… Read More »

## Prediction using ColumnTransformer, OneHotEncoder and Pipeline

In this tutorial, we’ll predict insurance premium costs for each customer having various features, using ColumnTransformer, OneHotEncoder and Pipeline. We’ll import the necessary data manipulating… Read More »