This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be predicting how engaging a video can be at the user level. We have been provided with a dataset that contains that user’s earlier videos engagement score along with their personal information. We will build multiple regression models […]
Whether you’re allocating resources more efficiently for web traffic, forecasting patient demand for staffing needs, or anticipating sales of a company’s products, forecasting is an essential tool across many businesses. One particular use case, known as cold start forecasting, builds forecasts for a time series that has little or no existing historical data, such as […]
Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing ETL (extract, transform, and load), business intelligence (BI), and reporting tools. Tens of thousands of customers use Amazon Redshift to process exabytes of data per […]
Table of Contents:Conversational AI and VoiceContinuous Speech Recognition TestingConfigure Speech Services in Botium BoxSpeech Recognition (Speech-to-Text)Speech Synthesis (Text-to-Speech)Custom Speech EnginesPrepare Chatbots for Speech Synthesis...
The international hacktivist collective known as Anonymous has vowed to attack Russian government websites over the recent Ukraine invasion. So far Anonymous says that it hacked the Russian Ministry of Defense database and various state-operated television channels in Russia. Additionally, a spokesperson from Russia Today (RT) said that after Anonymous’ recent statement, RT websites were […]
This article was published as a part of the Data Science Blogathon. Overview Source: Image In recent years, corporate banks’ credit evaluations have become more sophisticated. Credit evaluations have progressed from being subjective decisions by the bank’s credit experts to a more statistically advanced evaluation. Banks rapidly recognize the increased need for comprehensive credit risk […]
This article was published as a part of the Data Science Blogathon. img src: 1196.jpg (1920×1080) (wallpapersdsc.net) In this article, we are going to use a dataset based on a popular TV Series “The Big Bang Theory”. We will perform a very basic level Exploratory Data Analysis (EDA) on the dataset and then make a recommendation […]
This article was published as a part of the Data Science Blogathon. Introduction Data Augmentation (DA) Technique is a process that enables us to artificially increase training data size by generating different versions of real datasets without actually collecting the data. The data needs to be changed to preserve the class categories for better performance in […]
This article was published as a part of the blog. Table of Contents Introduction Working with dataset Import Count Vectorizer Import Support Vector Classifier Using Pipeline Save the model Prediction of new reviews using the model Conclusion Introduction In this article, we will be dealing with the Restaurant reviews dataset. In this dataset, there are reviews […]
This article was published as a part of the Data Science Blogathon. Source: Author, Paint Introduction The main idea of this article is to help you all understand the concept of Sentiment Analysis Deep Learning & NLP. Let’s try to understand this with the help of a case. Anirudh owns an e-commerce company-Universal for the […]