Dataconomy

JULY 28, 2023

Proper data preprocessing is essential as it greatly impacts the model performance and the overall success of data analysis tasks ( Image Credit ) Data integration Data integration involves combining data from various sources and formats into a unified and consistent dataset.

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

Towards AI

AUGUST 16, 2023

Last Updated on August 17, 2023 by Editorial Team Author(s): Jeff Holmes MS MSCS Originally published on Towards AI. Data preparation: This step includes the following tasks: data preprocessing, data cleaning, and exploratory data analysis (EDA).

AI 96

AI AI Machine Learning Machine Learning 96

Towards AI

FEBRUARY 21, 2023

Last Updated on February 22, 2023 by Editorial Team Author(s): Fares Sayah Originally published on Towards AI. Exploratory Data Analysis In-depth EDA can be found in the full notebook: IBM HR Analytics?Employee

Machine Learning 96

Machine Learning Machine Learning Python Exploratory Data Analysis 96

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. C in 2014 to 26.24°C

Exploratory Data Analysis 52

Exploratory Data Analysis Machine Learning Machine Learning EDA 52

Ocean Protocol

NOVEMBER 21, 2023

Objectives The challenge embraced several data analysis dimensions: from data cleaning and exploratory data analysis (EDA) to insightful data visualization and predictive modeling. CTA View Ocean Protocol’s past and active data challenges, as well as the 2023 leaderboard here.

Data Analysis 59

Data Analysis Data Analysis EDA Exploratory Data Analysis 59

Ocean Protocol

DECEMBER 12, 2023

Abstract This research report encapsulates the findings from the Curve Finance Data Challenge , a competition that engaged 34 participants in a comprehensive analysis of the decentralized finance protocol. Part 1: Exploratory Data Analysis (EDA) MEV Over 25,000 MEV-related transactions have been executed through Curve.

Exploratory Data Analysis 52

Exploratory Data Analysis Predictive Analytics Data Analysis Data Analysis 52

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 45

EDA Exploratory Data Analysis Hypothesis Testing Data Science 45

Pickl AI

JULY 20, 2023

Top 15 Data Analytics Projects in 2023 for Beginners to Experienced Levels: Data Analytics Projects allow aspirants in the field to display their proficiency to employers and acquire job roles. Kaggle datasets) and use Python’s Pandas library to perform data cleaning, data wrangling, and exploratory data analysis (EDA).

Analytics 40

Analytics Analytics Big Data Big Data 40

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 59

Cross Validation Predictive Analytics Exploratory Data Analysis EDA 59

Ocean Protocol

FEBRUARY 1, 2024

We will only use 1 airport for this data challenge, though METAR is a standard score updated at each airport. The data we use for this challenge is Miami's historical METAR logs from 2014–2023. Their primary objective is to develop advanced models that accurately predict future weather conditions at KMIA (Miami Airport).

Exploratory Data Analysis 52

Exploratory Data Analysis Data Science Cross Validation Machine Learning 52

ODSC - Open Data Science

APRIL 29, 2023

Check out more of the talks and workshops from industry-leading data science and AI organizations coming to ODSC East 2023 below. You’ll discuss some of the common pain points for Pandas DataFrame when used for EDA (Exploratory Data Analysis), and how Kangas helps solve them.

Data Science 52

Data Science Exploratory Data Analysis AI AI 52

Towards AI

MARCH 1, 2023

Last Updated on March 14, 2023 by Editorial Team Author(s): Fares Sayah Originally published on Towards AI. Business questions to brainstorm: Since all features are anonymous, we will focus our analysis on non-anonymized features: Time, Amount How different is the amount of money used in different transaction classes?

Machine Learning 52

Machine Learning Machine Learning Python Exploratory Data Analysis 52

ODSC - Open Data Science

AUGUST 9, 2023

A cordial greeting to all data science enthusiasts! I consider myself fortunate to have the opportunity to speak at the upcoming ODSC APAC conference slated for the 22nd of August 2023. The inferSchema parameter is set to True to infer the data types of the columns, and header is set to True to use the first row as headers.

Machine Learning 52

Machine Learning Machine Learning AWS Big Data 52

Ocean Protocol

JANUARY 10, 2024

Understanding trends of the past and simulating future outcomes through available data seeks to lead to better awareness, business intelligence, and policy shaping in years to come. Introduction This Data Challenge ran from November 23 to December 12, 2023, and was the last challenge of the 2023 championship season.

Data Science 52

Data Science Exploratory Data Analysis Support Vector Machines Data Analysis 52

Mlearning.ai

FEBRUARY 2, 2023

I took AWS Certified Machine Learning Specialty 2023 — Hands On! Post this I went through AWS Certified Machine Learning Specialty 2023 — Hands On! I went through the AWS Certified Machine Learning Specialty 2023 — Hands On! Data Engineering and Machine Learning Implementation and Operations in AWS were my weak points.

Machine Learning 52

Machine Learning Machine Learning AWS ML 52

Iguazio

DECEMBER 14, 2023

There are 6 high-level steps in every MLOps project The 6 steps are: Initial data gathering (for exploration). Exploratory data analysis (EDA) and modeling. Data and model pipeline development (data preparation, training, evaluation, and so on).

ML 52

ML ML Data Science Data Preparation 52

PyImageSearch

DECEMBER 12, 2022

. # load the data in the form of a csv estData = pd.read_csv("/content/realtor-data.csv") # drop NaN values from the dataset estData = estData.dropna() # split the labels and remove non-numeric data y = estData["price"].values values X = estData.drop(["price"], axis=1).select_dtypes(exclude=['object']) What's next?

Decision Trees 52

Decision Trees Deep Learning Deep Learning Exploratory Data Analysis 52