Remove Artificial Intelligence Remove EDA Remove Hypothesis Testing
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From Data to Decisions: Deep Dive into Workshop Learnings

Women in Big Data

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.

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Exploring Different Types of Data Analysis: Methods and Applications

Pickl AI

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. Clustering: Grouping similar data points to identify segments within the data.

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Formula 1 Racing Challenge: 2024 Strategy Analysis

Ocean Protocol

By conducting exploratory data analysis (EDA), they will identify relationships between these variables and generate insights on how strategy impacts race outcomes. Participants will use EDA and statistical analysis to understand how tire management and pit stop decisions impact race outcomes.

EDA 45
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The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

Pickl AI

Together, data engineers, data scientists, and machine learning engineers form a cohesive team that drives innovation and success in data analytics and artificial intelligence. Statistical Analysis: Hypothesis testing, probability, regression analysis, etc. Data Visualization: Matplotlib, Seaborn, Tableau, etc.

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Roadmap to Learn Data Science for Beginners and Freshers in 2023

Becoming Human

In Inferential Statistics, you can learn P-Value , T-Value , Hypothesis Testing , and A/B Testing , which will help you to understand your data in the form of mathematics. For Data Analysis you can focus on such topics as Feature Engineering , Data Wrangling , and EDA which is also known as Exploratory Data Analysis.

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Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

A/B Testing: A statistical method for comparing two versions of a variable to determine which one performs better. Artificial Intelligence (AI): A branch of computer science focused on creating systems that can perform tasks typically requiring human intelligence.