Analytics Vidhya

How to Approach CNN Architecture from Scratch?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on CNN Architecture Hello, and welcome again to another intriguing subject.

Reversing the Video Using Computer Vision

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be working to develop an application from computer vision techniques that will reverse the video, and also, we will be able to save that reversed video in our local system.

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IPL Team Win Prediction Project Using Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Machine Learning and Data Science are one of the fastest-growing technological fields. This field results in amazing changes in the medical field, production, robotics etc.

Handling Missing Values with Random Forest

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Random Forest Missing values have always been a concern for any statistical analysis. They significantly reduce the study’s statistical powers, which may lead to faulty conclusions.

The Essential Supply Chain Network Design Tooling Checklist

Dedicated supply chain network design software is fuelled by intuitive scenario analysis capabilities and powerful mathematical optimization. Answer 10 relevant questions to see if advanced network design & scenario modeling technology can help you.

Get to Know Apache HBase from Scratch!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Apache HBase With the constant increment of structured data, it is getting difficult to efficiently store and process the petabytes of data.

Get to Know Apache Flume from Scratch!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Apache Flume, a part of the Hadoop ecosystem, was developed by Cloudera. Initially, it was designed to handle log data solely, but later, it was developed to process event data.

Classification and Regression using AutoKeras

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on AutoKeras Automated Machine Learning (AutoML) is a computerised way of determining the best combination of data preparation, model, and hyperparameters for a predictive modelling task.

A Guide to Web Scraping Rotten Tomatoes

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Web Scraping The data consistently have been fuelling the growth of industries from time immemorial. It is not a new thing.

The DataHour: Build Your First Chatbot Using Open Source Tools

Analytics Vidhya

Dear Readers, The latest edition of our flagship learning series on everything in and about data analytics is sure to excite your minds, be prepared for the DataHour on Building your First Chatbot using Open Source Tools.

An Introduction to SQL Commands for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to SQL SQL stands for the Structure Query Language. And it is the most popular RDBMS (Relational Database Management System) language used to create, access, and manage databases.

Omnichannel is Multichannel 2.0

Multichannel and omnichannel marketing are not the same. Many organizations are striving for omnichannel, but it can be a daunting journey—unless you have a map. Download your copy of the ultimate omnichannel guide today!

Introduction to Image Segmentation

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Image Segmentation Suppose we have this image and the question that we are trying to solve is, what is the object present in this image. The object of importance here is the dog.

Is Quantum Computing the Future of Artificial Intelligence?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Forbes.com Introduction It is not hidden from the audience that quantum computing is the future of data processing.

Know About Ensemble Methods in Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The variance is the difference between the model and the ground truth value, whereas the error is the outcome of sensitivity to tiny perturbations in the training set.

Track Your Trip Through an OBD system Using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Most drivers nowadays are quite familiar with all the indicators on their car dashboard.

Face detection using the Caffe model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this section, we will build a face detection algorithm using Caffe model, but only OpenCV is not involved this time.

Common Use Cases for Mathematical Optimization

What is mathematical optimization and what are some of the most common use cases for across industries? How can this type of prescriptive analytics be applied to lower costs, reduce carbon emissions, and build more resilient supply chains? Find out in this guide.

A tutorial on Centroid Tracker & Counter System

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Centroid Tracker In this article, we are going to design a counter system using OpenCV in Python that will be able to track any moving objects using the idea of Euclidean distance tracking and contouring.

Introduction to SQL for Data Engineering

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be looking for a very common yet very important topic i.e. SQL also pronounced as Ess-cue-ell.

Configure Jupyter Notebook On AWS In 2-Steps

Analytics Vidhya

This article was published as a part of the Data Science Blogathon.

Innovative Applications of Machine Learning in Healthcare Domain

Analytics Vidhya

This article was published as a part of the Data Science Blogathon.

Put Your Data to Work: The Complete Playbook

Turn your data into a competitive advantage. This playbook contains: Exclusive stats, research & insights on how the pandemic affected businesses. A comprehensive “Request For Proposal” (RFP) checklist and an interactive quiz to test your data knowledge.

Building a Car Price Predictor Using Spark in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will build a machine learning pipeline that is a Car Price Predictor using Spark in Python. We have already learned the basics of Pyspark in the last article.

Spark Data Streaming with MongoDB

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we are going to talk about data streaming with apache spark in Python with codes. We will also talk about how to persist our streaming data into MongoDB.We

Getting Started with Azure Synapse Analytics

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Azure Synapse Analytics is a cloud-based service that combines the capabilities of enterprise data warehousing, big data, data integration, data visualization and dashboarding.

Docker Tutorial for Beginners Part-I

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we are going to introduce you to Docker tutorial and will further learn the basic commands as well from installing docker, Pulling images from the hub to running Linux machines in docker.

Guide to Mathematical Optimization & Modeling

What is mathematical optimization and how does it compare to other types of analytics? Which tool should you use to develop optimization applications and scale them across the business? What are best practices for successful adoption? Read now.

Exploring Octoparse Web Scraping tool for Data Preparations

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article let’s discuss one among the very popular and handy web-scraping tools Octoparse and its key features and how to use it for our data-driven solutions.

Disaster Tweet Classification using LSTM – NLP

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction on NLP Have you ever imagined how mails are classified into spam and ham or how the tweets are classified into good or bad?

Approaching Classification With Neural Networks

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Classification Classification is one of the basic tasks that a machine can be trained to perform.

A Comprehensive Overview of Sentiment Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction We can clearly see that sentiment analysis is getting more and more popular as e-commerce, SaaS solutions, and digital technologies advance.

The Retailer’s Guide to Marketing Data

Retailers are faced with extraordinary challenges – from changing consumer needs to unpredictable twists & turns in the economy. Learn how innovative retailers use zero-, first-, second-, and third-party data to find their best customers and drive repeat purchases.

Apache Flume: Data Collection, Aggregation & Transporting Tool

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Apache Flume Apache Flume is a platform for aggregating, collecting, and transporting massive volumes of log data quickly and effectively. It is very reliable and robust.

The Ultimate Guide to Working With Mongo DB Using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Mongo DB In the first part of this article, we will try to understand Mongo DB architecture along with how the Mongo DB database can be used for Data Science.

Object Detection Using Haar Cascade: OpenCV

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will discuss how to implement a haar cascade for object detection in OpenCV. In the last article, we discussed real-time object classification, if you haven’t read it yet, the link is here.

An Introduction to MapReduce with a Word Count Example

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Hadoop facilitates the processing of large datasets in a distributed manner and provides the foundation on which other services and applications can be built. MapReduce and HDFS are the two main components of Hadoop.

Implementing Supply Chain Network Design

Companies want to maximize service levels, but they also want to cut costs. These goals are often at odds with one another. How do you find the optimum balance? This guide offers hands-on advice that will help you use network design to achieve successful results.

Aggregate and GroupBy Functions in PySpark

Analytics Vidhya

This article was published as a part of the Data Science Blogathon.

Long Short Term Memory (LSTM): Digging a Bit Deeper

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Long Short Term Memory Have you seen “Memento” or there is one Bollywood movie named “Gajni” where the hero doesn’t remember the information which occurred way back?

Building Vehicle Counter System Using OpenCV

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we are going to build a vehicle counter system using OpenCV in Python using the concept of Euclidean distance tracking and contours.

Impact of Hyperparameters on a Deep Learning Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction- Hyperparameters in a neural network A deep neural network consists of multiple layers: an input layer, one or multiple hidden layers, and an output layer.

11 Email Deliverability Strategies to Reach the Inbox

With nearly 1 in 5 emails from U.S. senders failing to reach the inbox, deliverability challenges still plague senders and prevent email campaign success. Check out this deliverability guide for actionable strategies and real-world examples of companies applying smart inboxing tactics.