data case-studies 
Analytics Vidhya
MAY 29, 2022
This article was published as a part of the Data Science Blogathon. Introduction Data scientists/engineers/Analysts are in huge demand and various large and small firms are hiring left right and centre for various roles. The post Solving Business Case Study Assignments For Data Scientists appeared first on Analytics Vidhya.
Analytics Vidhya
NOVEMBER 30, 2021
This article was published as a part of the Data Science Blogathon. The string is one standard Data type in Python. You will find string data type in every application programming language like Java, Python, C++ because while developing an application you need to talk to the user and it is done in strings. Whereas […].
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Analytics Vidhya
NOVEMBER 23, 2022
This article was published as a part of the Data Science Blogathon. Introduction Data lineage is the process of analyzing the path of the data and how it is involved in different methods with time. Many businesses and companies use it to get an idea of the source, data pathway, and how the data is […].
Analytics Vidhya
APRIL 26, 2020
The Importance of Exploratory Data Analysis (EDA) There are no shortcuts in a machine learning project lifecycle. The post A Beginner’s Guide to Exploratory Data Analysis (EDA) on Text Data (Amazon Case Study) appeared first on Analytics Vidhya. We can’t simply skip to the model.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
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. When developing a Gen AI application, one of the most significant challenges is improving accuracy.
Analytics Vidhya
FEBRUARY 2, 2023
Introduction Why do companies conduct business case studies along with interviews? Companies want to hire data analysts who can apply theoretical principles to solve practical problems, find solutions, and be deductive. Why not just be done with interviews and save time and effort?
Analytics Vidhya
JUNE 28, 2022
This article was published as a part of the Data Science Blogathon. Image 1 Introduction to Data Science Interview Case Study When asked about a business case challenge at an interview for a Machine learning engineer, Data scientist, or other comparable position, it is typical to become nervous.
Advertiser: Data Robot
Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Brought to you by Data Robot.
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We developed this guide to help retailers build a data-centric acquisition program that lowers their acquisition costs, eliminates wasteful spending, attracts high-value customers and provides a competitive advantage in a tight market.
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Advertiser: Data Robot
Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Brought to you by Data Robot.
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Leading brands and local businesses alike are tapping into varied business and consumer data to power their products and meet consumers’ ever-evolving needs. But companies need to remember that a product can only be as good as the data that powers it. The criteria you should use to vet available data sources.
Speaker: Jesse Simms, VP at Giant Partners
This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results!
Speaker: Conrado Morlan
Using the lens of a superhero narrative, he’ll uncover how AI can be the ultimate sidekick, aiding in data management and reporting, enhancing productivity, and boosting innovation. Tools and AI Gadgets 🤖 Overview of essential AI tools and practical implementation tips.
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