Neural Network Neural Networks are a group of algorithms that consist of computational nodes, that take in an input, perform mathematical computations on it, and return an output. Complex mathematical operations can be performed based on the functions we choose to use on these computational nodes. These functions are also called “activations”. Neural Networks can […]

Motivation The human activity data consists of 561 features. Using all of these features in a predictive modeling procedure can be computationally tedious. On the other hand, removing features can result in losing vital information that can describe the process that generated the dependent variables. Instead of feature removal, trying to derive a new and […]

Cover Photo by Fernando Menezes Jr. from Pexels Introduction The Human Activity recognition dataset consists of information collected from embedded accelerometer and gyroscopes while performing tasks like WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING and LAYING.The experiments have been carried out with a group of 30 volunteers within an age bracket of 19-48 years, with video evidence […]

Consumer Segmentation Consumer segmentation is the practice of dividing a customer base into groups. In each of these groups the individuals are similar to each other in some ways. This practice allows a business to create a group specific campaign or digital advertisement. This not only increases the effectiveness of the business’s marketing efforts, it […]

Data Import In this script, we use a dataset that represents women’s clothing reviews. This data has been taken from Kaggle. This is important as a majority of today’s transations take place online. This script will look at a surface level analysis of the data.A detailed analysis will be done in further posts. We will […]