How to detect and treat outliers

Read Time: 6 min 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 get to know how important outliers are while data-preprocessing. Table of content Why study outlier? … Read more

Build your First Sentiment Analysis Classifier Model from Scratch

Read Time: 5 min Understanding the meaning and context behind someone‚Äôs 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 to automate many such applications where humans had to take the burden of sitting for … Read more

Frequently Asked Interview Questions on Data Analysis

Read Time: 4 min 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 it always necessary to normalize the data? Answer: Normalization brings all features in the same … Read more

Let the confusion matrix solve your confusion

Read Time: 5 min 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 of classification algorithms using confusion matrix. Table of content What is classification What is confusion … Read more

How to do text scraping using python

Read Time: 3 min To use machine learning or deep learning for any natural language processing, the first and foremost thing required is DATA. Though a lot of open source data is available but mostly is in unstructured form. In this blog post, you will learn how to perform text scraping using python so that that ‘unstructured data’ can … Read more

All about Google’s Inception network

Read Time: 5 min 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 Inception Network architecture Inception v1 Inception v2 Inception v3 What is Inception Network? Inception network … Read more

All about Activation Functions

Read Time: 5 min 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 activation functions, how to use them and their right place to use. So let’s start: … Read more

Image web scraping using python

Read Time: 4 min 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? I think, Data!!! “Data collection” is a huge pain especially when you need to train … Read more

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