In this article, we are going to understand in-depth and detail about outlier-Statistical and Programming approaches, how to detect and treat outliers so that they won’t screw up the model performance. So read this article till the end, you will…
Understanding the meaning and context behind someone’s words is very important to understand them and their thoughts. Imagine if we could make machines understand the context of our texts i.e. we can do sentiment analysis somehow? It will help us…
This post mainly focuses on interview questions asked in the data science interview. The primary purpose of this post is to help you to understand and learn concepts through questions. So let’s prepare together! 1. Why normalization is needed? Is…
Whenever machine learning is used for classification or prediction problems, it’s equally important to focus on it’s evaluation metrics which will let you know, how well your model is performing. In this article, we will discuss how to evaluate performance…
Through this post you will be able to understand all about google’s Inception network architecture, it’s different versions, how to use it for transfer learning, real time implementation. Let’s start: Table of content: What is Inception network? Problems solved by…
It seems bit confusing when we need to decide which activation function will be the best for a particular neural network. Through this post, you will be able to understand all about activation functions as it’s meaning, different types of…
Through this post, you will learn how to collect images from Google directly i.e. “image scraping” using python. What is the most important or primary element if you want to solve real world problem using deep learning or machine learning?…
Speech is an integral part of communication. Importance of speech recognition has been increased over the years with advancement of technology. Through this tutorial, you will be able to get familiar with Automatics speech recognition system, necessity of such models,…
To solve the mystery of bias-variance trade off, we need to first understand what is meant by bias and variance in data science. Why it is so important for analysis of machine learning model. Does it create any issue while…
As you know, literal meaning of regularization is to manage or control things. Machine learning model also demands regularization sometimes. Through this post, you will be able to know about what is regularization in machine learning, why does machine learning…