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Announcing the Winners of ‘The NFL Fantasy Football’ Data Challenge

Ocean Protocol

This report took the data set provided in the challenge, as well as external data feeds and alternative sources. In the link above, you will find great detail in data visualization, script explanation, use of neural networks, and several different iterations of predictive analytics for each category of NFL player.

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Predict football punt and kickoff return yards with fat-tailed distribution using GluonTS

Flipboard

Models were trained and cross-validated on the 2018, 2019, and 2020 seasons and tested on the 2021 season. To avoid leakage during cross-validation, we grouped all plays from the same game into the same fold. For more information on how to use GluonTS SBP, see the following demo notebook.

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Are you familiar with the teacher of machine learning?

Dataconomy

They assist in data cleaning, feature scaling, and transformation, ensuring that the data is in a suitable format for model training. It provides a higher-level interface and enables the creation of informative and visually appealing statistical graphics.

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Cheat Sheets for Data Scientists – A Comprehensive Guide

Pickl AI

Data Visualization Presenting data in a comprehensible manner is an art. Data Scientists should be adept at creating data visualizations that tell a compelling story. Communication Skills Data Scientists need to translate their findings into actionable recommendations for non-technical stakeholders. .

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What is Alteryx certification: A comprehensive guide

Pickl AI

Alteryx’s validation tools, such as the Cross-Validation Tool, ensure the accuracy and reliability of predictive models. For a deeper dive into data visualization, explore our Understanding Data Visualization course. Is Alteryx similar to Tableau? Why is Alteryx better than Excel?

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Get Maximum Value from Your Visual Data

DataRobot

Just like for any other project, DataRobot will generate training pipelines and models with validation and cross-validation scores and rate them based on performance metrics. Select “Start” and let DataRobot AI Cloud Platform do the work for you.

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Top 50+ Data Analyst Interview Questions & Answers

Pickl AI

This comprehensive blog outlines vital aspects of Data Analyst interviews, offering insights into technical, behavioural, and industry-specific questions. It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques.