Analytics Vidhya

NOVEMBER 23, 2021

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.

Data Science 400

Data Science 400

Lexalytics

NOVEMBER 23, 2021

With the rise of natural disasters exacerbated by climate change, governments and agencies struggle to coordinate effective relief programs. Artificial intelligence (AI), machine learning ( ML ), and natural language processing ( NLP ) can help. Here’s how. The cost of natural disasters is at an all-time high Natural disasters wreak havoc around the world every year.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence Natural Language Processing Machine Learning 98

Eugene Yan

NOVEMBER 24, 2021

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

ML 100

ML 100

Explosion

NOVEMBER 23, 2021

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.

Machine Learning 40

Machine Learning 40

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

Analytics Vidhya

NOVEMBER 23, 2021

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 […].

Machine Learning 399

Machine Learning Algorithm Data Science Python 399

Analytics Vidhya

NOVEMBER 21, 2021

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!

Data Science 400

Data Science Data Analysis Visual AI AI 400

Analytics Vidhya

NOVEMBER 22, 2021

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.

Data Science 400

Data Science 400

Analytics Vidhya

NOVEMBER 21, 2021

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. […].

Data Analysis 400

Data Analysis Data Science 400

Analytics Vidhya

NOVEMBER 24, 2021

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 […].

Data Analysis 396

Data Analysis Data Science 396

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Generative AI

Analytics Vidhya

NOVEMBER 22, 2021

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.

Data Science 395

Data Science 395

Analytics Vidhya

NOVEMBER 24, 2021

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 […].

Convolutional Neural Networks 393

Convolutional Neural Networks Neural Network Data Science Computer Vision 393

Analytics Vidhya

NOVEMBER 24, 2021

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 […].

Machine Learning 388

Machine Learning Data Science Algorithm Python 388

Analytics Vidhya

NOVEMBER 25, 2021

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.

Natural Language Processing 382

Natural Language Processing Python Data Science NLP 382

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

LLM

Analytics Vidhya

NOVEMBER 25, 2021

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.

Deep Learning 386

Deep Learning Data Science Python 386

Analytics Vidhya

NOVEMBER 20, 2021

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 365

ML Machine Learning Data Science Python 365

Analytics Vidhya

NOVEMBER 24, 2021

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 337

Python Data Science 337

Analytics Vidhya

NOVEMBER 26, 2021

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: […].

Machine Learning 330

Machine Learning Data Science Algorithm 330

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Analytics Vidhya

NOVEMBER 25, 2021

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.

Natural Language Processing 322

Natural Language Processing NLP Python Data Science 322

Analytics Vidhya

NOVEMBER 26, 2021

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.

Machine Learning 322

Machine Learning Data Science Natural Language Processing NLP 322

Analytics Vidhya

NOVEMBER 26, 2021

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 […].

Deep Learning 320

Deep Learning Data Science Python 320

Analytics Vidhya

NOVEMBER 24, 2021

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.

Data Science 315

Data Science Python 315

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Analytics Vidhya

NOVEMBER 22, 2021

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 […].

Natural Language Processing 315

Natural Language Processing NLP Data Science 315

Analytics Vidhya

NOVEMBER 25, 2021

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 […].

Deep Learning 309

Deep Learning Neural Network Artificial Intelligence Artificial Intelligence 309

Explosion

NOVEMBER 23, 2021

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.

Algorithm 52

Algorithm Python Machine Learning 52