Sat.Nov 20, 2021 - Fri.Nov 26, 2021

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Performing Time Series Analysis using ARIMA Model in R

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Welcome to the World of Time Series Analysis! From this article, you will learn how to perform time series analysis using the ARIMA model (with code!). The dataset used in this article can be downloaded here. The usage time series data consist of the […]. The post Performing Time Series Analysis using ARIMA Model in R appeared first on Analytics Vidhya.

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Informal Mentors Grew into ApplyingML.com!

Eugene Yan

More than two dozen interviews with ML Practitioners sharing their stories and advice

ML 100
professionals

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Neural edit-tree lemmatization for spaCy

Explosion

We are happy to introduce a new, experimental, machine learning-based lemmatizer that posts accuracies above 95% for many languages. This lemmatizer learns to predict lemmatization rules from a corpus of examples and removes the need to write an exhaustive set of per-language lemmatization rules. spaCy provides a Lemmatizer component for assigning base forms ( lemmas ) to tokens.

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Doing Data Science for Social Good, Responsibly

fast.ai

The phrase “data science for social good” is a broad umbrella, ambiguously defined. As many others have pointed out , the term often fails to specify good for whom. Data science for social good can be used to refer to: nonprofits increasing their impact through more effective data use, hollow corporate PR efforts from big tech, well-intentioned projects that inadvertently result in surveillance and privacy invasion of marginalized groups, efforts seeped in colonialism, or many other types of pro

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

Speaker: David Warren and Kevin O’Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

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Understanding K-means Clustering in Machine Learning(With Examples)

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction With the rising use of the Internet in today’s society, the quantity of data created is incomprehensibly huge. Even though the nature of individual data is straightforward, the sheer amount of data to be analyzed makes processing difficult for even computers. To […].

More Trending

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Neural edit-tree lemmatization for spaCy

Explosion

We are happy to introduce a new, experimental, machine learning-based lemmatizer that posts accuracies above 95% for many languages. This lemmatizer learns to predict lemmatization rules from a corpus of examples and removes the need to write an exhaustive set of per-language lemmatization rules.

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Using Data Visualization to Explore the Human Space Race!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Humankind has always looked up to the stars. Since the dawn of civilization, we have mapped constellations, named planets after Gods and so on. We have seen signs and visions in celestial bodies. In the previous century, we finally had the technology to […]. The post Using Data Visualization to Explore the Human Space Race!

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Loan Risk Analysis with Supervised Machine Learning Classification

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Classification Algorithms In this article, we shall analyze loan risk using 2 different supervised learning classification algorithms. These algorithms are decision trees and random forests. At the outset, the basic features and the concepts involved would be discussed followed by a […].

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Building an end-to-end Polynomial Regression Model in R

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview. Regression analysis is used to solve problems of prediction based on data statistical parameters. In this article, we will look at the use of a polynomial regression model on a simple example using real statistic data. We will analyze the relationship between […]. The post Building an end-to-end Polynomial Regression Model in R appeared first on Analytics Vidhya.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Getting Started with Data Analysis using Power BI

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. What is Power BI? Microsoft‘s business analytics product, Power BI, delivers interactive data visualization BI capabilities that allow users to see and share data and insights throughout their organisation. Power BI provides insight data by using data interactively and exploring it by visualizations. […].

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Pattern Library for Natural Language Processing in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. There is a wide variety of data available on the internet. Data can be numbers, images, text, audio, and son. The vast amount of data available online and generated is vast. The vast amount of text data can be overwhelming to analyze and […]. The post Pattern Library for Natural Language Processing in Python appeared first on Analytics Vidhya.

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KNIME Tutorial – A Friendly Introduction to Components using the KNIME Analytics Platform

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. In the last article A Friendly Introduction to KNIME Analytics Platform I provided a brief insight into the open-source software KNIME Analytics Platform and what it is capable of. With the help of a customer segmentation example, I showed the general functions of […]. The post KNIME Tutorial – A Friendly Introduction to Components using the KNIME Analytics Platform appeared first on Analytics Vidhya.

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An Introduction to Separable Convolutions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. We know how useful convolutional neural networks are. CNNs have transformed image analytics. They are the most widely used building blocks for solving problems involving images. Many architectures like ResNet, Google Net have achieved exceptional accuracies in image classification tasks are built with […].

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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

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A Comprehensive Guide on Microsoft Excel for Data Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Table of Contents Introduction 15 Essential Excel Data Analysis Functions Methods for Data Analysis in Excel Data Analysis with Microsoft Excel Simple Linear Regression Model in Microsoft Excel Dataset Introduction to Excel for Data Analysis Data analysis is the process of […].

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Polish Up your ML model!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Image 1 In this article, we will be discussing various ways through which we can polish up or fine-tune our machine learning model. We will be using the Housing Dataset for understanding the concepts. Before we get started let’s get a […]. The post Polish Up your ML model!

ML 360
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Beginners Guide to Password Generator using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview What is a “password generator using python”? What exactly is a password? How to make it? What is “password generator using python”? When you are filling some passwords on sites like you are signing in on Analytics Vidhya through chrome, you will […].

Python 344
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Deep Learning to Create your Emoji

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview for Deep Learning for Emojis Nowadays, we are using several emojis or avatars to show our moods or feelings. They act as nonverbal cues of humans. They become the crucial part of emotion recognition, online chatting, brand emotion, product review, and a […]. The post Deep Learning to Create your Emoji appeared first on Analytics Vidhya.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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An Empirical study of Machine Learning Classifiers with Tweet Sentiment Classification

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. In this post, we will discuss the sentiment analysis problem. We have taken the Twitter US airline sentiment dataset for this empirical study. We will train various classification models and compare the performance metrics to extract useful insights. Twitter US Airline Sentiment dataset: […].

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3 ways to deal with SettingWithCopyWarning in Pandas

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. It doesn’t pay to ignore warnings. Even when they don’t make sense. – Debra Doyle One of the things I was taught while learning to code was to not be bothered by ‘Warnings’ in your code. “Focus on fixing major bugs […]. The post 3 ways to deal with SettingWithCopyWarning in Pandas appeared first on Analytics Vidhya.

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An Introduction to Stemming in Natural Language Processing

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction We will learn how to do stemming in Python using the NLTK package for our NLP project in this lesson. We shall provide an overview of stemming and trace its history. Finally, we will discuss several kinds of stemmers and various applications […]. The post An Introduction to Stemming in Natural Language Processing appeared first on Analytics Vidhya.

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A Guide to Building an End-to-End Multiclass Text Classification Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Knock! Knock! Who’s there? It’s Natural Language Processing! Natural language processing (NLP) is everywhere, one of the most used concepts in the business world. Whether to predict the sentiment in a sentence or to differentiate the emails, flag a toxic comment, all these […].

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The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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A Brief Guide on how to build a Named Entity Extraction (NER) Model with Apache OpenNLP Library

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview According to the internet, OpenNLP is a machine learning-based toolbox for processing natural language text. It has many features, including tokenization, lemmatization, and part-of-speech (PoS) tagging. Named Entity Extraction (NER) is one feature that can assist us to comprehend queries.

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Newbie’s Deep Learning Project to Recognize Handwritten Digit

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Developers are putting all their strength to make machines more intelligent, and smarter than humans. Deep learning is one such technique that contributes to developers enhancing machines. To memorize how a task is performed, what do humans do? Humans keep practicing and repeating […].

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Complete Guide to People Counting and Tracking: End-to-end Deep Learning Project

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. The artificial neural network has revolutionized the entire AI industry. Deep learning is a byproduct as well as an advanced technique inside Artificial Intelligence. Deep learning helps us to solve complex real-time and industry-relevant problems. Today we will develop people counting and tracking […].