2024, Data Analysis and EDA - Data Science Current

2024

Data Analysis

EDA

Learning Path to Become a Data Analyst in 2024

Analytics Vidhya

DECEMBER 6, 2023

Introduction The year 2023 has been a pivotal chapter, shaping the landscape of data analysis and insight generation. As we step into the promising horizon of 2024, data analytics beckons with fresh opportunities and evolving challenges.

Data Analyst

Data Analyst Data Analysis Data Analysis Analytics

Predicting the 2024 U.S. Presidential Election Winner Using Machine Learning

Towards AI

NOVEMBER 4, 2024

Methodology Overview In our work, we follow these steps: Data Generation: Generate a synthetic dataset that contains effects on the behaviour of voters. Exploratory Data Analysis: Perform exploratory data analysis to understand the features’ distributions, relationships, and correlations.

Machine Learning

Machine Learning Machine Learning Exploratory Data Analysis EDA

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Trending Sources

Data Workflows in Football Analytics: From Questions to Insights

Data Science Dojo

APRIL 29, 2025

Correcting these issues ensures your analysis is based on clean, reliable data. Exploratory Data Analysis (EDA) With clean data in hand, the next step is Exploratory Data Analysis (EDA). Do not be afraid to dive deep and explore other techniques.

Power BI

Power BI Analytics Analytics EDA

End-to-End Machine Learning Project Development: Spam Classifier

Towards AI

MARCH 22, 2024

Last Updated on March 25, 2024 by Editorial Team Author(s): Cornellius Yudha Wijaya Originally published on Towards AI. Many beginners in data science and machine learning only focus on the data analysis and model development part, which is understandable, as the other department often does the deployment process.

Machine Learning

Machine Learning Machine Learning EDA Data Science

Formula 1 Racing Challenge: 2024 Strategy Analysis

Ocean Protocol

SEPTEMBER 9, 2024

F1 :: 2024 Strategy Analysis Poster ‘The Formula 1 Racing Challenge’ challenges participants to analyze race strategies during the 2024 season. They will work with lap-by-lap data to assess how pit stop timing, tire selection, and stint management influence race performance.

EDA

EDA Exploratory Data Analysis Hypothesis Testing Data Science

From Development to Deployment of an AI Model Using Azure

Towards AI

APRIL 7, 2024

Last Updated on April 7, 2024 by Editorial Team Author(s): Prashant Kalepu Originally published on Towards AI. This involves visualizing the data and analyzing key statistics. Photo by Lala Azizli on Unsplash Hey there, fellow learners! U+1F44B Welcome to another exciting journey in the realm of machine learning.

Azure

Azure Machine Learning Machine Learning Exploratory Data Analysis

F1 Racing 2024 Strategy Analysis Challenge— Final Classification

Ocean Protocol

OCTOBER 18, 2024

Introduction The 2024 Formula 1 Racing Challenge provided data scientists with detailed lap-by-lap data from the current F1 season. Provided information included telemetry data covering each race, including variables like tire choices, stint lengths, lap times, and pit stop durations.

Exploratory Data Analysis

Exploratory Data Analysis Data Scientist EDA Data Analysis

Navigating the Exciting Stages: The Journey of a Machine Learning Project Life Cycle

Towards AI

FEBRUARY 3, 2024

Last Updated on February 3, 2024 by Editorial Team Author(s): Kamireddy Mahendra Originally published on Towards AI. As a data scientist, we will explore the entire data set to understand each characteristic and identify any patterns existing if any in it. This process is called Exploratory Data Analysis(EDA).

Machine Learning

Machine Learning Machine Learning Exploratory Data Analysis Data Scientist

Decoding METAR Data: Insights from the Ocean Protocol Data Challenge

Ocean Protocol

MARCH 11, 2024

METAR, Miami International Airport (KMIA) on March 9, 2024, at 15:00 UTC In the recently concluded data challenge hosted on Desights.ai , participants used exploratory data analysis (EDA) and advanced artificial intelligence (AI) techniques to enhance aviation weather forecasting accuracy.

Exploratory Data Analysis

Exploratory Data Analysis Machine Learning Machine Learning EDA

New Data Challenge: Aviation Weather Forecasting Using METAR Data

Ocean Protocol

FEBRUARY 1, 2024

2024 marks the 3rd year of the Ocean Protocol Data Challenge Program initiative. Aviation Weather Forecasting Using METAR Data’ is the second data challenge in 2024, and the second opportunity to score points in the Championship Leaderboard for this season. at KPIM Miami International Airport.

Exploratory Data Analysis

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Unveiling Market Dynamics: Winners of the Google Trends Analysis and Predictive Modeling

Ocean Protocol

MAY 24, 2024

The challenge required a detailed analysis of Google Trends data, integration of additional data sources, and the application of advanced ML methods to predict market behaviors. Data scientists across various expertise levels engaged in this challenge to determine Google Trends’ impact on cryptocurrency valuations.

EDA

EDA Exploratory Data Analysis Data Scientist ML

Modernize and migrate on-premises fraud detection machine learning workflows to Amazon SageMaker

AWS Machine Learning Blog

JUNE 5, 2025

Legacy workflow: On-premises ML development and deployment When the data science team needed to build a new fraud detection model, the development process typically took 24 weeks. In the ecommerce retail space, mitigating fraudulent transactions and enhancing consumer experiences are top priorities for merchants.

Machine Learning

Machine Learning Machine Learning AWS ML

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

Ocean Protocol

SEPTEMBER 29, 2023

This data challenge took NFL player performance data and fantasy points from the last 6 seasons to calculate forecasted points to be scored in the 2024 NFL season that began Sept. AI / ML offers tools to give a competitive edge in predictive analytics, business intelligence, and performance metrics.

Cross Validation

Cross Validation Predictive Analytics Exploratory Data Analysis EDA

AI in Time Series Forecasting

Pickl AI

DECEMBER 16, 2024

This capability is essential for businesses aiming to make informed decisions in an increasingly data-driven world. In 2024, the global Time Series Forecasting market was valued at approximately USD 214.6 billion in 2024 and is projected to reach a mark of USD 1339.1 billion by 2030.

AI AI Machine Learning Machine Learning

Forecasting Carbon Emission Across Continents Research & Data Challenge Review

Ocean Protocol

JANUARY 10, 2024

Here we use data science to diagnose the issues and propose better practices to treat our planet better than the last 30 years. Exploratory Data Analysis (EDA) In Asia, the surge in CO2 and GHG emissions is closely linked to rapid population growth, industrialization, and the rise of emerging economies.

Data Science

Data Science Exploratory Data Analysis Support Vector Machines Data Analysis

Learning Path to Become a Data Analyst in 2024

Predicting the 2024 U.S. Presidential Election Winner Using Machine Learning

Trending Sources

Data Workflows in Football Analytics: From Questions to Insights

End-to-End Machine Learning Project Development: Spam Classifier

Formula 1 Racing Challenge: 2024 Strategy Analysis

From Development to Deployment of an AI Model Using Azure

F1 Racing 2024 Strategy Analysis Challenge— Final Classification

Navigating the Exciting Stages: The Journey of a Machine Learning Project Life Cycle

Decoding METAR Data: Insights from the Ocean Protocol Data Challenge

New Data Challenge: Aviation Weather Forecasting Using METAR Data

Unveiling Market Dynamics: Winners of the Google Trends Analysis and Predictive Modeling

Modernize and migrate on-premises fraud detection machine learning workflows to Amazon SageMaker

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

AI in Time Series Forecasting

Forecasting Carbon Emission Across Continents Research & Data Challenge Review

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