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How to Build a Real Estate Price Prediction Model?

Analytics Vidhya

Introduction As a data scientist, you have the power to revolutionize the real estate industry by developing models that can accurately predict house prices. This blog post will teach you how to build a real estate price prediction model from start to finish. appeared first on Analytics Vidhya.

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Quality Control Tips for Data Collection with Drone Surveying

Smart Data Collective

Here at Smart Data Collective, we never cease to be amazed about the advances in data analytics. We have been publishing content on data analytics since 2008, but surprising new discoveries in big data are still made every year. One of the biggest trends shaping the future of data analytics is drone surveying.

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The unreasonable importance of data preparation

O'Reilly on Data

In a world focused on buzzword-driven models and algorithms, you’d be forgiven for forgetting about the unreasonable importance of data preparation and quality: your models are only as good as the data you feed them. The model and the data specification become more important than the code.

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Streaming Edge Data Collection and Global Data Distribution

Cloudera

In the first blog of the Universal Data Distribution blog series , we discussed the emerging need within enterprise organizations to take control of their data flows. controlling distribution while also allowing the freedom and flexibility to deliver the data to different services is more critical than ever. .

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Are You Content with Your Organization’s Content Strategy?

Rocket-Powered Data Science

If you include the title of this blog, you were just presented with 13 examples of heteronyms in the preceding paragraphs. Specifically, in the modern era of massive data collections and exploding content repositories, we can no longer simply rely on keyword searches to be sufficient. Data catalogs are very useful and important.

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Practical Skills for The AI Product Manager

O'Reilly on Data

Experimentation: It’s just not possible to create a product by building, evaluating, and deploying a single model. In reality, many candidate models (frequently hundreds or even thousands) are created during the development process. Modelling: The model is often misconstrued as the most important component of an AI product.

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Dear Avinash: Attribution Modeling, Org Culture, Deeper Analysis

Occam's Razor

Yehoshua I've covered this topic in detail in this blog post: Multi-Channel Attribution: Definitions, Models and a Reality Check. I explain three different models (Online to Store, Across Multiple Devices, Across Digital Channels) and for each I've highlighted: 1. What's possible to measure.

Modeling 125