Dataconomy

MAY 16, 2023

With the explosion of big data and advancements in computing power, organizations can now collect, store, and analyze massive amounts of data to gain valuable insights. Machine learning, a subset of artificial intelligence , enables systems to learn and improve from data without being explicitly programmed.

Data Scientist 156

Data Scientist ML ML Machine Learning 156

Women in Big Data

APRIL 17, 2024

His expertise in Artificial Intelligence and Machine Learning and engaging teaching style made the workshop an enriching experience. Hypothesis Testing in Action: We learned how to formulate a null hypothesis (no difference exists) and an alternative hypothesis (a difference exists) and use statistical tests to evaluate their validity.

Exploratory Data Analysis 52

Exploratory Data Analysis EDA Machine Learning Machine Learning 52

Pickl AI

MARCH 3, 2023

Accordingly, it uses machine learning tools, data mining processes, big data, predictive modelling, artificial intelligence and simulations for Predictive Analysis. Prescriptive Analysis : Significantly, the use of Prescriptive Analysis helps in prescribing the best possible outcome for assessing datasets.

Exploratory Data Analysis 40

Exploratory Data Analysis Hypothesis Testing Data Analyst Data Scientist 40

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

OCTOBER 14, 2024

Exploratory Data Analysis (EDA) Exploratory Data Analysis (EDA) is an approach to analyse datasets to uncover patterns, anomalies, or relationships. The primary purpose of EDA is to explore the data without any preconceived notions or hypotheses.

Data Analysis 52

Data Analysis Data Analysis EDA Data Mining 52

Pickl AI

JULY 10, 2023

R’s data manipulation capabilities make cleaning and preprocessing data easy before further analysis. · Statistical Analysis: R has a rich ecosystem of packages for statistical analysis. mlr: This package is nothing short of outstanding for performing artificial intelligence tasks.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

AUGUST 29, 2023

Data Collection: Based on the question or problem identified, you need to collect data that represents the problem that you are studying. Exploratory Data Analysis: You need to examine the data for understanding the distribution, patterns, outliers and relationships between variables.

Data Scientist 52

Data Scientist Clustering Data Analysis Data Analysis 52