Analytics Vidhya

SEPTEMBER 10, 2021

This article was published as a part of the Data Science Blogathon Introduction I have been using Pandas with Python and Plotly to create some of the most stunning dashboards for my projects. In recent times, I have switched to learning Excel as it was a prerequisite in every company I had to apply to. I […]. The post How to Create Stunning and Interactive Dashboards in Excel?

Data Science 400

Data Science Python 400

Eugene Yan

SEPTEMBER 4, 2021

Focusing on long-term rewards, exploration, and frequently updated item.

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Lexalytics

SEPTEMBER 9, 2021

Today I’m excited to share the news that Lexalytics has been acquired by InMoment, the leader in Experience Improvement (XI). If you haven’t already seen the press release it can be viewed here. For nearly two decades, Lexalytics has been a pioneer in structured and unstructured data analytics, translating text into profitable decisions with our natural language processing (NLP), machine learning (ML), and artificial intelligence (AI) solutions for the world’s most customer-centric brands.

Natural Language Processing 52

Natural Language Processing Machine Learning Text Analytics Artificial Intelligence 52

Bitext

SEPTEMBER 8, 2021

This post dives into one of the topics of a previous post “ How to Make Machine Learning more effective using Linguistic Analysis “ We referred to the strong points of Machine Learning technology for insight extraction. We also stated that text analysis is not the area where machine learning shines the most. Here we go into some detail on this last statement.

Machine Learning 52

Machine Learning Chatbots AI AI 52

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

SEPTEMBER 8, 2021

This article was published as a part of the Data Science Blogathon Introduction We all know the phrase: “Every picture can tell us a story” There could be a lot of information hidden inside an image and we could interpret it in different ways and perspectives. So, what is an image, and how to deal with […]. The post A Beginner’s Guide to Image Processing With OpenCV and Python appeared first on Analytics Vidhya.

Python 400

Python Data Science Computer Vision 400

Analytics Vidhya

SEPTEMBER 10, 2021

This article was published as a part of the Data Science Blogathon Introduction You may be frequently using Google Assistant or Apple’s Siri or even Amazon Alexa to find out quick answers on the web or to simply command something. These AI assistants are well known for understanding our speech commands and performing the desired tasks. They quickly respond to […].

Deep Learning 399

Deep Learning Python Data Science AI 399

Analytics Vidhya

SEPTEMBER 5, 2021

This article was published as a part of the Data Science Blogathon Introduction Deep learning is a subset of Machine Learning and Artificial Intelligence that imitates the way humans gain certain types of knowledge. It is essentially a neural network with three or more layers. deep-learning helps to solve many artificial intelligence applications that help improving […].

Deep Learning 394

Deep Learning Neural Network Artificial Intelligence Artificial Intelligence 394

Analytics Vidhya

SEPTEMBER 6, 2021

This article was published as a part of the Data Science Blogathon Introduction Q-Q plots are also known as Quantile-Quantile plots. As the name suggests, they plot the quantiles of a sample distribution against quantiles of a theoretical distribution. Doing this helps us determine if a dataset follows any particular type of probability distribution like normal, […].

ML 388

ML Data Science 388

Analytics Vidhya

SEPTEMBER 9, 2021

This article was published as a part of the Data Science Blogathon Introduction Hello everyone, in this article we will pick the use case of sequence modelling, which is time series forecasting. Time series is all around us from predicting sales to predicting traffic and more. A simple example of time series is the amount of […]. The post Web Traffic Forecasting Using Deep Learning appeared first on Analytics Vidhya.

Deep Learning 381

Deep Learning Data Science Python 381

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Generative AI

Analytics Vidhya

SEPTEMBER 10, 2021

This article was published as a part of the Data Science Blogathon Introduction Everything around us from biology, stocks, physics, or even common life scenarios can be mathematically modelled using Differential equations. It has a remarkable ability to predict everything around us. We can use Differential Equations to maximize our investment returns, can use them in […].

Deep Learning 378

Deep Learning Data Science 378

Analytics Vidhya

SEPTEMBER 4, 2021

This article was published as a part of the Data Science Blogathon This is a tutorial on how to create a deep learning model for predicting stock prices using the TensorFlow framework. This is an advanced project of Tensorflow which means you should be very clear with the basics of Stock Prices. You can also check […]. The post Predicting Stock Prices with TensorFlow appeared first on Analytics Vidhya.

Deep Learning 375

Deep Learning Data Science Python 375

Analytics Vidhya

SEPTEMBER 4, 2021

This article was published as a part of the Data Science Blogathon Designing a deep learning model that will predict degradation rates at each base of an RNA molecule using the Eterna dataset comprising over 3000 RNA molecules. Image 1 Introduction mRNA vaccines are at forefront of battling the COVID-19 pandemic and they come with limitations. […].

Deep Learning 372

Deep Learning Data Science Python 372

Analytics Vidhya

SEPTEMBER 9, 2021

This article was published as a part of the Data Science Blogathon What is Hypothesis Testing? Any data science project starts with exploring the data. When we perform an analysis on a sample through exploratory data analysis and inferential statistics we get information about the sample. Now, we want to use this information to predict values […].

Machine Learning 369

Machine Learning Data Analysis Data Science Python 369

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

SEPTEMBER 10, 2021

This article was published as a part of the Data Science Blogathon Introduction With ignite, you can write loops to train the network in just a few lines, add standard metrics calculation out of the box, save the model, etc. Well, for those who have moved from TF to PyTorch, we can say that the ignite […]. The post Training and Testing Neural Networks on PyTorch using Ignite appeared first on Analytics Vidhya.

Neural Network 351

Neural Network Data Science Deep Learning Python 351

Analytics Vidhya

SEPTEMBER 4, 2021

This article was published as a part of the Data Science Blogathon Introduction Building a cool machine learning project is one thing, and another when you need other people to see it too. Sure, you can put the entire project on GitHub, but how will your grandparents figure out what you’ve done? No, we need to […]. The post Model Deployment -Deploy a Keras Model as a Python Web Application appeared first on Analytics Vidhya.

Python 350

Python Machine Learning Data Science Deep Learning 350

Analytics Vidhya

SEPTEMBER 6, 2021

This article was published as a part of the Data Science Blogathon Introduction Natural Language Processing has many applications these days. An important application of Natural Language Processing is text classification and text analytics. For this purpose, we need to create a classifier. But, the problem that lies in dealing with text data is that computers […].

Python 348

Python Natural Language Processing Text Analytics Data Science 348

Analytics Vidhya

SEPTEMBER 4, 2021

This article was published as a part of the Data Science Blogathon Introduction OpenCV is a great tool for image processing and performing computer vision tasks. It is an open-source library that can be used to perform tasks like face detection, objection tracking, landmark detection, and much more. It supports multiple languages including python, java C++. […].

Computer Vision 348

Computer Vision Python Data Science 348

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Analytics Vidhya

SEPTEMBER 9, 2021

This article was published as a part of the Data Science Blogathon Introduction Machine learning is connected with the field of education related to algorithms which continuously keeps on learning from various examples and then applying them to real-world problems. Classification is a task of Machine Learning which assigns a label value to a specific class […].

Machine Learning 334

Machine Learning Data Science Algorithm Python 334

Analytics Vidhya

SEPTEMBER 6, 2021

This article was published as a part of the Data Science Blogathon Table of contents 1. The motivation behind Graph Neural Networks 2. GNN Algorithm 3. GNN implementation on Karate network 4. Applications of GNN 5. Challenges of GNN 6. Study papers on GNN The motivation behind Graph Neural Networks Graphs are receiving a lot […]. The post Getting Started with Graph Neural Networks appeared first on Analytics Vidhya.

Neural Network 330

Neural Network Data Science Algorithm Deep Learning 330

Analytics Vidhya

SEPTEMBER 4, 2021

This article was published as a part of the Data Science Blogathon Introduction In this article, we discuss colour perception. The article can benefit individuals in graphical media art. The challenge of creating art with a deep dark blue can become challenging, as purple may appear instead. As we dive deeper into the world of Hex […]. The post Color Perception – How To Produce Dark Blue Without a Hint of Purple appeared first on Analytics Vidhya.

Data Science 327

Data Science Python 327

Analytics Vidhya

SEPTEMBER 5, 2021

This article was published as a part of the Data Science Blogathon Introduction In this article we will try to understand what PCA is all about, why do we need to perform PCA on a given dataset. We also look into the Mathematical Principles or the concepts underlying PCA and how these concepts help us in […]. The post PCA And It’s Underlying Mathematical Principles appeared first on Analytics Vidhya.

Data Science 324

Data Science Python Machine Learning 324

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

SEPTEMBER 7, 2021

This article was published as a part of the Data Science Blogathon Introduction: Hello Everyone, in this article, we shall be coding a bot for discord, using just python. Let us begin and jump into the process without further ado. A brief about Discord for those who don’t already know Discord is basically a one-stop voice […]. The post Build Your First Discord Bot Using Python appeared first on Analytics Vidhya.

Python 321

Python Data Science Chatbots NLP 321

Analytics Vidhya

SEPTEMBER 7, 2021

This article was published as a part of the Data Science Blogathon Introduction The deep learning algorithms required the data in a specific order or shape. First, we have to arrange the data in batches, then we have to feed the batched data to the model in the epoch loop. You will learn through this article […]. The post Torch Dataset and Dataloader – Early Loading of Data appeared first on Analytics Vidhya.

Deep Learning 316

Deep Learning Data Science Algorithm Python 316

Analytics Vidhya

SEPTEMBER 8, 2021

This article was published as a part of the Data Science Blogathon Introduction to Geometric Intuition of Logistic Regression Hello folks! You may generally come across the term classification and regression in our data science or machine learning community, this two are the main pillars of machine learning. classification is all about predicting the label and regression […].

Machine Learning 315

Machine Learning Data Science 315

Analytics Vidhya

SEPTEMBER 9, 2021

This article was published as a part of the Data Science Blogathon The fastai library is now on Julia with similar features available in Python. In this project, we are going to train the Resnet-18 model to classify images from the ImageNet dataset in simple steps. Source: Author Introduction to FastAI.jl The FastAI.jl library is similar […].

Python 313

Python Data Science Computer Vision Deep Learning 313

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Data Analysis

Analytics Vidhya

SEPTEMBER 6, 2021

This article was published as a part of the Data Science Blogathon One thing that comes to our mind after hearing Big Data Analytics is that this field might be somewhat related to Data Science right? So starting with the answer, yes it’s related to the same the only difference is, in Big Data Analytics, analysts […]. The post An Introductory Guide to Big Data Analytics appeared first on Analytics Vidhya.

Big Data 312

Big Data Data Science 312

Analytics Vidhya

SEPTEMBER 4, 2021

This article was published as a part of the Data Science Blogathon Image 1In this blog, We are going to talk about some of the advanced and most used charts in Plotly while doing analysis. All you need to know is Plotly for visualization! Table of content Description of Dataset Data Exploration Data Cleaning Data visualization […]. The post Performing EDA of Netflix Dataset with Plotly appeared first on Analytics Vidhya.

Data Science 310

Data Science Python 310

Analytics Vidhya

SEPTEMBER 7, 2021

This article was published as a part of the Data Science Blogathon Introduction In this tutorial, we will discuss the implementation of the YOLO Object Detection system in Tensorflow 2.0. YOLO is the latest object detection system (network). It was designed by Joseph Redmon. Models in the YOLO family are exceptionally fast and far outperform R-CNN […].

Data Science 305

Data Science Computer Vision Deep Learning Python 305