The Complete Life Cycle of Data: From Exploration to Deployment
April 15th, 2021

The purpose of this article is to summarize the predictive modeling process, from exploring the data to deploying the prediction. This includes the thought process behind various decisions during the process, be it selecting the features that could help with better pred

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4 Steps of Using Latent Dirichlet Allocation for Topic Modeling in NLP
April 12th, 2021

  Topic Modeling is a technique that you probably have heard of many times if you are into Natural Language Processing (NLP). It is commonly used for document clustering, not only used for text analysis, but also in applications such as search and recommendation en

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Learning OpenCV from Scratch to Build a Pedestrian Detector
April 10th, 2021

Introduction to OpenCV, its applications, basics of image processing, Pedestrian Detector, and YOLO detector   By Rutuja Kawade   In my childhood days, I used to often think about how the photo editing apps came to know where exactly the hair or the lips are p

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NLP Data Preparation: From Regex to Word Cloud Packages and Data Visualization
March 11th, 2021

“REGEX‘’ and “Word Clouds” for Natural Language Processing (NLP) data preparation? `Yesss! Regex, short for “the regular expression”, is not an old technique to find and extract text data. It is still one of the basic techniques used in scrapin

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Building An Elevation Map For Forest Cover using Deep Learning
May 11th, 2020

The Problem: How to build an Elevation Map? Now, how do we get to the elevation map? And what do we use it for? Those were the main questions we asked ourselves, considering that we will be doing something great for the world in this project regarding the understanding

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