Analyzing Vero Moda Fashion Product Data
The fashion industry is rapidly evolving and increasingly relying on data to better align itself with consumer preferences, analyze competitors, and improve product strategy. Many boutique agencies are already working on fashion data analysis to cater to the growing demand for data-driven decision making by fashion brands and marketplaces. This post presents the visualizations created […]
Read MoreThe Definitive Guide to Data Labeling for Machine Learning
Data for most machine learning projects are collected through multiple sources such as data scraping, getting people to fill survey forms, etc. Usually, a high percentage of this data is unlabelled or mislabelled. By unlabelled data, here we are referring to data which has not been tagged with labels specifying their characteristics, classification or properties. […]
Read MoreGilling – The Automated Decision Intelligence
We all make decisions at every point of the daily life, and the same goes for companies as well. Ever thought of making the right decisions easily and swiftly? Here is a company — Gilling that works on improving the decision-making process. Not only that…
Read MoreData Trends in Fashion Industry
Data Trends in the fashion industry plays a vital role and is used to drive decisions and strategy that generate sales, gain a better understanding of customers, and boost overall profit. Fashion designers and companies use data on a daily basis run a successful fashion business. However, the commonly perceived data used by fashion designers […]
Read MoreDifference between Data Profiling and Data Mining
While data mining is a trending topic in today’s world of machine learning, web scraping, and artificial intelligence; data profiling is a relatively rare topic and a subject with a comparatively lesser presence on the web. Thinking about what is the difference between data profiling and data mining? Well, data mining refers to finding patterns […]
Read MoreTop 15 APIs and Data Sources for Machine Learning and AI – PromptCloud
Machine Learning or artificial intelligence are the buzzwords of our time. Upon hearing one, our mind conjures up self-driving cars, robots that can help us in our day to day life or terminators taking over the world. While all three are possible, most machine learning applications are much simpler, for example, identifying cancerous cells, or […]
Read MoreImproving External Data Standardization with Web Data Integration
Before analyzing data aggregated from multiple sources, most essential thing to do is External Data Standardization. At PromptCloud, we put special emphasis on this process and understand that as a web crawling company, our solution must enable our clients to integrate data efficiently. Read on to learn about this in greater details. What is Data […]
Read MoreVisualizing Marvel Cinematic Universe Movies Data from IMDB
MCU’s latest movie Avengers Endgame broke the box office record of James Cameron’s Avatar, making it the highest-grossing film of all time. The film made a whopping USD 2.788 billion, taking it to the top spot on the all-time box office list. This got us thinking about doing some analyses on the IMDB data for […]
Read MoreWhat is Web Data Integration and Why is it Important? – PromptCloud
Web data integration simply refers to the process of aggregating and channeling data from different web sources into a single workflow (usually your business workflow), and if you are running a business that needs data, in today’s world web data is your best bet. The reason is that from 15.41 billion devices in 2015, today […]
Read MoreHow to write and create the best we crawling bots
Web crawling bots, also known as ants, automatic indexers, web spiders or web robots, are automated scripts that scan through web pages to extract data periodically (or in real-time). The process itself is called web crawling. Although web crawling bots are sometimes used for other purposes as well, such as web indexing (by companies like […]
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