Sat.Mar 19, 2022 - Fri.Mar 25, 2022

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Operating on the Pandas DataFrame in Python

Analytics Vidhya

Overview DataFrame in Python Performing Data Cleaning Operations on the Pandas DataFrame Introduction Undoubtedly, a DataFrame in python is the most important structure used to store the data because it is used in all practical cases to store our given data set which we will be using for creating our models. It is defined under […]. The post Operating on the Pandas DataFrame in Python appeared first on Analytics Vidhya.

Python 379
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Engineering a Successful New Car: Starting a New F1 Season with McLaren Racing

DataRobot Blog

The 2022 season ignited a world of changes for McLaren Racing and Formula 1 with the biggest reengineering in modern F1 history. Each team now has a budget cap, and significant rule changes have been introduced, altering strategies and adding excitement for the fans. Another change that we’re thrilled about is that DataRobot is one of McLaren’s newest partners.

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Traversing High-Level Intent and Low-Level Requirements

Eugene Yan

How they differ and why they work better in different situations.

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Applied Language Technology

Explosion

Extensive online course on applied language technology with spaCy by Tuomo Hiippala, designed for students new to NLP and programming.

NLP 52
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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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Keyword Extraction Methods from Documents in NLP

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Keyword extraction is commonly used to extract key information from a series of paragraphs or documents. Keyword extraction is an automated method of extracting the most relevant words and phrases from text input. It is a text analysis method that involves automatically extracting […].

NLP 383

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Decision Tree Machine Learning Algorithm Using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we are going to learn about Decision Tree Machine Learning algorithm. We will build a Machine learning model using a decision tree algorithm and we use a news dataset for this. Nowadays fake news spread is like wildfire and this […]. The post Decision Tree Machine Learning Algorithm Using Python appeared first on Analytics Vidhya.

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Women Leaders in Data Science: Top 10 Influentials from the Industry

Analytics Vidhya

Introduction The thriving industry of Data Science is continuously evolving with the technological advancements in Machine Learning and Artificial intelligence. This has opened up whole new avenues for Data Scientists worldwide. Professionals who can handle Big Data and have the necessary knowledge required for understanding, analysing and processing data are in high demand in the […].

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Introductory Note to Image Classification Using Fast ai

Analytics Vidhya

Introduction Training a Deep Learning model from scratch can be a tedious task. You have to find the right training weights, get the optimal learning rates, find the best hyperparameters and the architecture that will best suit your data and model. Put it along with not having enough quality data to train and the computational […]. The post Introductory Note to Image Classification Using Fast ai appeared first on Analytics Vidhya.

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Get to Know About Modern Data Governance

Analytics Vidhya

Introduction Given the world’s growing user base across devices and applications in recent years, we have seen a huge surge in not just the volume of data we are collecting but also in the number and variety of sources. The pandemic has certainly accelerated this trend even more and having high quality and consistency […]. The post Get to Know About Modern Data Governance 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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Dog Breed Classification Using a Stacked Pre-Trained Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. An end-to-end guide on dog breed classification using stacked pre-trained CNN models […]. The post Dog Breed Classification Using a Stacked Pre-Trained Model appeared first on Analytics Vidhya.

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A Comprehensive Guide on MLOps for Machine Learning Engineering

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction I believe all you’re familiar with the terminology DevOps for these many years, this is the complete culture and process life cycle of CI/CD. Yes! This is the best fit for the traditional software that is managed in the production environment very effectively […].

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The DataHour: How to Stay Relevant in the Booming World of AI?

Analytics Vidhya

Dear Readers, We are happy to bring you yet another exciting webinar for you! Yup, you heard it right! The DataHour Series brings Anastasiia to conduct a webinar on how to stay relevant in the Booming World of AI. We hope, you’re excited and eager to learn new things that we have planned for you […]. The post The DataHour: How to Stay Relevant in the Booming World of AI?

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Bivariate Feature Analysis in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Feature analysis is an important step in building any predictive model. It helps us in understanding the relationship between dependent and independent variables. In this article, we will look into a very simple feature analysis technique that can be used in cases such as […].

Python 285
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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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Let’s Understand Data Augmentation Using AugLy!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Image Source: Author Introduction A common problem with machine learning and deep learning models is ‘Overfitting.’ This means that the model accuracy is very high on the training dataset but fails to do so on the unknown data. To address the challenge of overfitting, […].

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Exploratory Data Analysis (EDA) – Credit Card Fraud Detection Case Study

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview Lots of financial losses are caused every year due to credit card fraud transactions, the financial industry has switched from a posterior investigation approach to an a priori predictive approach with the design of fraud detection algorithms to warn and help fraud investigators. […].

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Learn About Principal Component Analysis in Details!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Image source Table of Contents 1. Introduction to the curse of dimensionality. 2. What is PCA and why do we need it? 3. Steps in PCA and mathematical proof. The Curse of Dimensionality In Numpy, the number of independent features or variables in a […]. The post Learn About Principal Component Analysis in Details!

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Hands-On Named Entity Recognition with SpaCy

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source – promptcloud.com Introduction As organizations expand, in their businesses and market values, the need for making important and meaningful insights with the business data becomes crucial. On the other hand, gaining insights from gradually increasing unstructured text data can be a cumbersome and […].

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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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How I Won My First Public Data Science Competition?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Author About the Competition The competition was to predict the likelihood of having Autism. It was sponsored by Google Developers and hosted on Kaggle. The data was collected from people that filled out an app form. Research has proven that early detection of […]. The post How I Won My First Public Data Science Competition?

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Building Naive Bayes Classifier from Scratch to Perform Sentiment Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In my last article (Sentiment Analysis with LSTM), we discussed what sentiment analysis is and how to perform it using LSTM. LSTM is a deep-learning-based classifier, and it takes a considerable amount of time to train it. In this article, we will explore […]. The post Building Naive Bayes Classifier from Scratch to Perform Sentiment Analysis appeared first on Analytics Vidhya.

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Where Should your Next Work-Vacation Be?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. An exploratory data analysis article of the best cities for your next workcation. Photo by Christin Hume on Unsplash Introduction Due to the pandemic, companies who were never comfortable letting their employees work from home, citing multiple reasons like the breach of data privacy […].

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A Beginners Guide to the Machine Learning Lifecycle

Analytics Vidhya

Introduction Data Science, Machine learning, Artificial Intelligence – you would have come across these terms very often while talking to your peers, reading through a blog post or in general having day to day conversations with family and friends. You would also have been in many decision-making spots yourself – while choosing to buy a […].

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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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Music Genre Classification Project Using Machine Learning Techniques

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Hello, and welcome to a wonderful article on audio classification. Audio classification is an Application of machine learning where different sound is categorized in certain categories. In our previous blog, we have studied Audio classification using ANN and build a model from scratch.

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Visualising Published Articles and Analysing them Using Plotly

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. A picture speaks thousands of words. Thus the visualization maps are very important as they provide insight to data even for the non-technical person. To create a good chart there are many libraries present. I have used the plotly library for this article. I […]. The post Visualising Published Articles and Analysing them Using Plotly appeared first on Analytics Vidhya.

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Facial Landmarks Detection Using Mediapipe Library

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview So we have previously worked with face detection using Mediapipe library only but there was a problem with detecting the landmarks points as they were not that clear when we were visualizing the other elements of the face i.e. the major facial key […]. The post Facial Landmarks Detection Using Mediapipe Library appeared first on Analytics Vidhya.

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Want to learn Cloud Computing? Begin your Journey with AWS!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Table of Contents Introduction AWS Benefits of AWS AWS Regions How to choose a Region? AWS Availability Zones Edge Locations AWS Free Tier Sign up AWS Services Conclusion Introduction In this article, we will understand more about cloud computing and we will focus mainly […]. The post Want to learn Cloud Computing?

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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METAVERSE: A World of Imagination that Takes you Through Reality!

Analytics Vidhya

Have you ever thought like: I wish I can get this thing or I have a desire that I want to be at this place or I love anime and I wish I have these powers. If yes, then my friend you are at the right place. Introduction Imagine having the power to get anything […]. The post METAVERSE: A World of Imagination that Takes you Through Reality! appeared first on Analytics Vidhya.

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Heart Disease Prediction Using Logistic Regression on UCI Dataset

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: [link] Overview Hi everyone! In this article, we study, in detail, the hyperparameters, code and libraries used for heart disease prediction using logistic regression on the UCI heart disease dataset. Link to the dataset: [link] Source: [link] Importing Libraries #Importing […].

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Getting Started with Computer Vision: Basics and Starter Projects

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Image Source: Congito What is Computer Vision? Artificial Intelligence is an upcoming field with a vast study scope. Computer Vision is one of the AI branches that has proved to be very beneficial to solve real-life issues such as OCR recognition in driving number […]. The post Getting Started with Computer Vision: Basics and Starter Projects appeared first on Analytics Vidhya.