Blog-posts

eLearning and the Digital Divide

By Arya M. Bhat, Intern at iZen August 10, 2022 eLearning and the benefits The 20th century has seen incredible technological progress throughout society, as more and more of the world we live in is dependent on technology in order to create more powerful and efficient results. This has been increasingly true in the education …

eLearning and the Digital Divide Read More »

Getting Around Authentication

Author’s Name: Dr. Fred Cohen One of the key components of authorized access, which we seek to facilitate, is determining whether the access is in fact authorized, and doing so quickly and efficiently without interfering with ease of use or slowing the smooth flow of commerce. This process is supported by authentication, the demonstration that a …

Getting Around Authentication Read More »

Feature Selection: Filter method, Wrapper method and Embedded method

By Dr. Shripad Bhat, Data Scientist September 4, 2019 In this post, let us explore: What is feature selection? Why we need to perform feature selection? Methods What is Feature Selection? Feature selection means selecting and retaining only the most important features in the model. Feature selection is different from feature extraction. In feature selection, …

Feature Selection: Filter method, Wrapper method and Embedded method Read More »

Feature Engineering for machine learning

By Dr. Shripad Bhat, Data Scientist September 4, 2019 In this post, let us explore: What is the difference between Feature Selection, Feature Extraction, Feature Engineering and Feature Learning Process of Feature Engineering  And examples of Feature Engineering Both Feature engineering and feature extraction are similar: both refer to creating new features from the existing features. Feature …

Feature Engineering for machine learning Read More »

Feature Selection using sklearn

By Dr. Shripad Bhat, Data Scientist September 4, 2019 In this post, we will understand how to perform Feature Selection using sklearn. 1) Dropping features which have low variance If any features have low variance, they may not contribute in the model. For example, in the following dataset, features “Offer” and “Online payment” have zero …

Feature Selection using sklearn Read More »

Building a Deep Learning Model

By Dr. Shripad Bhat, Data Scientist September 4, 2019 Building a Deep Learning Model using Keras In this post, let us see how to build a deep learning model using Keras. If you haven’t installed Tensorflow and Keras, I will show the simple way to install these two modules. 1. Installing Tensorflow and Keras Open …

Building a Deep Learning Model Read More »

Deep Learning Basics

By Dr. Shripad Bhat, Data Scientist September 4, 2019 Deep learning is a powerful machine learning technique. These are widely used in Natural Language Processing (NLP) image/speech recognition robotics and many other artificial intelligence projects What is Deep Learning? A model which consists of more than three layers in a neural network model is a …

Deep Learning Basics Read More »

REQUEST DEMO