Developers Corner

Hands-On Tutorial On Machine Learning Pipelines With Scikit-Learn

Hands-On Tutorial On Machine Learning Pipelines With Scikit-Learn .In this article, I’ll be discussing how to implement a machine learning pipeline using scikit-learn.

Covid Tracker Bot Powered By Open Source Rasa Framework

Rasa open source is an excellent Machine Learning framework to develop conversational bots be it…

Time series

How To Check Time-Series Stationarity? A Beginners Guide in Python

The main aim of this article is to discuss the methods for checking the stationarity in time series data. We will do the experiments on the time series data to check this.

vectors

Complete Guide To Vectors in Linear Algebra With Implementation in Python

I will take you to a journey while discussing a really basic yet an important aspect of mathematics that is used in Machine Learning, vectors.

Complete Guide To Handling Categorical Data Using Scikit-Learn

Dealing with categorical features is a common thing to preprocess before building machine learning models.There are a variety of techniques to handle categorical data which I will be discussing in this article with their advantages and disadvantages.

Top 10 Ready To Use Datasets on TensorFlow

Last year in February, the TensorFlow’s team introduced TensorFlow Datasets. Machine learning community can access…

7 Free Online Resources To Learn NVIDIA NeMo

7 Free Online Resources To Learn NVIDIA NeMo

NVIDIA has recently concluded its GTC 2020 virtual conference, where it has announced the NeMo…

Jiant 2.0 Released: A NLU Toolkit Built For The Evolving Needs Of NLP Researchers

Recently, jiant 2.0 was released, which is an updated version of the natural language understanding…

How To Do Linear Regression In Excel

In this article, we will learn about how to implement a predictive model using MS excel and implement a linear regression algorithm.

shufflenet

Complete Guide To ShuffleNet V1 With Implementation In Multiclass Image Classification

This article demonstrates how we can implement a deep learning model with ShuffleNet architecture to classify images of CIFAR-10 dataset. Here, we define a Convolutional Neural Network (CNN) model using Torch to train this model. We will test the model to check the reduction in computational cost and obtain accuracy.