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Logistic Regression: An Introductory Note

This article was published as a part of the Data Science Blogathon. Introduction Linear regression maps a vector x to a scalar y. If we can squash the Linear regression output in the range 0 to 1, it can be interpreted as a probability. We can have a classifier that gives the class label’s probability for […]

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A Comprehensive Guide on Kubernetes

This article was published as a part of the Data Science Blogathon. Image-1 Introduction Today, In this guide, we will dive in to learn about Kubernetes and use it to deploy and manage containers at scale. Container and microservice architecture had used more to create modern apps. Kubernetes is open-source software that allows you to deploy […]

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Sentiment Analysis with LSTM

This article was published as a part of the Data Science Blogathon. Introduction Sentiment Analysis is an NLP application that identifies a text corpus’s emotional or sentimental tone or opinion. Usually, emotions or attitudes towards a topic can be positive, negative, or neutral. This makes sentiment analysis a text classification task. Examples of positive, negative, and […]

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Roadmap to Master NLP in 2022

This article was published as a part of the Data Science Blogathon. Introduction A few days ago, I came across a question on “Quora” that boiled down to: “How can I learn Natural Language Processing in just only four months?”. Then I began to write a brief response. Still, it quickly snowballed into a detailed explanation […]

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A Guide to Understand Machine Learning Pipeline with Case Study

This article was published as a part of the Data Science Blogathon. Introduction Machine learning is one of the most advancing technologies in Computer Science in the present era. A lot of Researchers, Academicians, and Industrialists are investing their efforts to innovate in this field. If you find the process of training machines to learn to […]

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Histogram Boosting Gradient Classifier

This article was published as a part of the Data Science Blogathon. Introduction Hello all, happy new year, have a safe and knowledgeable year ahead. So, in today’s article, we will see about a new algorithm called Histogram Boosting Gradient Classifier (HBG). Maybe very few of them came across this particular algorithm. So, what is a […]

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A Comprehensive Guide on Recommendation Engines In 2022

This article was published as a part of the Data Science Blogathon. Introduction The global market for the usage of Recommendation Engine was valued at USD 2.69 billion in 2021. It is anticipated to surpass USD 15.10 billion by 2026, reporting a CAGR of 37.79% during 2022-2026. The recommendations that companies give you sometimes use data […]

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Understanding Confidence Intervals with Python

This article was published as a part of the Data Science Blogathon. Table of contents Introduction Confidence Intervals with Z-statistic Interpreting Confidence Intervals Assumptions for CI using z-statistic Confidence intervals with t-statistic Assumptions for CI using t-statistic Making a t-interval with paired data z-value vs t-value: when to use what? Confidence Intervals with python End-Note Introduction […]

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Youtube Summariser | Mini NLP Project

This article was published as a part of the Data Science Blogathon. unsplash Introduction  NLP or Natural Language Processing is one of the fastest-growing tech fields right now. From message spam filter to Medical diagnosis with a chatbot, NLP is everywhere. Some of the hot use cases of NLP right now are text summarization, chatbot, machine […]

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Brief Introduction to Tensorflow for Deep Learning

This article was published as a part of the Data Science Blogathon. Source: Reference 1 Introduction  Tensorflow is a popular open-source machine learning framework developed by Google. It is primarily used by machine learning practitioners in research and industry for the training and inference of deep neural networks. Instead of building machine learning and deep learning […]

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Analyzing the Income Level of US Census Data

This article was published as a part of the Data Science Blogathon. Overview  In this article, we will be predicting the income of US people based on the US census data and later we will be concluding whether that individual American have earned more or less than 50000 dollars a year. If you want to know […]

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A Comprehensive Guide on Human Pose Estimation

This article was published as a part of the Data Science Blogathon. Human Pose estimation is a computer vision task that represents the orientation of a person in a graphical format. This technique is widely applied to predict a person’s body parts or joint position. It is one of the most exciting areas of research in computer […]

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