Author: Durgesh Gupta

All You Need To Know About Decision Tree Algorithm

Reading Time: 5 minutes In this blog, we are going to discuss Decision Tree algorithm, a supervised algorithm which can be used to solve both regression and as well as classification problem too. A classification algorithm, in general, is a function that weighs the input features so that the output separates one class into positive values and the other into negative values. Introduction to Decision Tree Algorithm A decision tree Continue Reading

Music Genre Classification: Identification Of The Audio

Reading Time: 4 minutes In this blog, we will discuss and build a music genre classification model to predict the genre/label of the music/song. Music Genre Classification Today we will build a Tensorflow sequential model to automatically classify different musical genres from the given input audio files. Dataset To train our ml classifier model to predict the audio’s genre/label, we will use the GTZAN Dataset.You can download the dataset Continue Reading

Kubeflow: A Complete Solution to MLOps.

Reading Time: 5 minutes Hey Folks, In this blog we are going to put some light on Kubeflow, an open-source platform that enables us to orchestrate complicated workflows running on Kubernetes of machine learning pipelines. Kubeflow Emerges for ML Workflow Automation Many data scientists today find it burdensome to manually execute all of the steps in a machine learning workflow. Moving and transforming data, training models, then promoting them Continue Reading

TensorFlow Recommenders (TFRS): An Overview

Reading Time: 4 minutes Hey Guys, Aren’t you surprised, when you watch any video on youtube or any movie on Netflix or look for any product on an E-Commerce website?You start receiving similar kinds of videos, movies, and products suggestion on respective platforms.So, how do platforms do that?.Well, they use recommender systems, an important application of machine learning, surfacing new discoveries and helping users find what they love.In this Continue Reading

Google BigQuery: An Introduction to Big Data Analytics Platform.

Reading Time: 6 minutes Hey Folks, Today we going to discuss Google BigQuery, an enterprise data warehouse with built-in machine learning capabilities. Before going to BigQuery, let’s understand what is Google Cloud Platform?Google Cloud Platform is a suite of public cloud computing services offered by Google. The platform includes a range of hosted services for compute, storage and application development that run on Google hardware. Google Cloud protects your data, applications, Continue Reading

How To Find Correlation Value Of Categorical Variables.

Reading Time: 4 minutes Hey folks, In this blog we are going to find out the correlation of categorical variables. What is Categorical Variable? In statistics, a categorical variable has two or more categories.But there is no intrinsic ordering to the categories. For example, a binary variable(such as yes/no question) is a categorical variable having two categories (yes or no), and there is no intrinsic ordering to the categories. Continue Reading

Getting Familiar with Activation Function and Its Types.

Reading Time: 7 minutes Hey Folks, In this blog we are going to discuss activation function in Artificial Neural Networks and their different types. Before going there, let’s get some idea about what is an artificial neural network? Artificial Neural Network(i.e., ANN) Artificial Neural Network refers to a biologically inspired sub-field of Artificial Intelligence modeled after the brain. ANN is a computational network based on a biological neural network Continue Reading

Scala Trait: The Magnificent feature that enables Multiple Inheritance

Reading Time: 5 minutes In this blog, we will discuss Scala Trait and how it helps us to implement multiple inheritance in Scala and to increase code reusability. What is Trait? According to the dictionary, a Trait is a distinguishing property or feature, typically one belonging to a person or genetically determined characteristics. In Scala, Trait encapsulates methods and field definitions that can be re-used by extending them into Continue Reading