Data Science Dojo

JANUARY 22, 2023

In this blog, we will discuss exploratory data analysis, also known as EDA, and why it is important. We will also be sharing code snippets so you can try out different analysis techniques yourself. EDA is an iterative process of conglomerative activities which include data cleaning, manipulation and visualization.

Exploratory Data Analysis 370

Exploratory Data Analysis EDA Data Analysis Data Analysis 370

Mlearning.ai

MARCH 5, 2023

Before conducting any formal statistical analysis, it’s important to conduct exploratory data analysis (EDA) to better understand the data and identify any patterns or relationships. EDA is an approach that involves using graphical and numerical methods to summarize and visualize the data.

Exploratory Data Analysis 52

Exploratory Data Analysis Data Analysis Data Analysis EDA 52

Women in Big Data

APRIL 17, 2024

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. EDA involves techniques like: Identifying different types of variables (categorical, numerical).

Exploratory Data Analysis 52

Exploratory Data Analysis EDA Machine Learning Machine Learning 52

Pickl AI

MAY 30, 2024

Overview of Typical Tasks and Responsibilities in Data Science As a Data Scientist, your daily tasks and responsibilities will encompass many activities. You will collect and clean data from multiple sources, ensuring it is suitable for analysis. Data Analysis Applying statistical methods is at the heart of Data Analysis.

Data Analysis 52

Data Analysis Data Analysis Data Science Exploratory Data Analysis 52

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

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

SEPTEMBER 18, 2024

The process of conducting Regression Analysis typically involves several steps: Step 1: Data Collection: Gather relevant data for both dependent and independent variables. This data can come from various sources such as surveys, experiments, or historical records.

EDA 52

EDA Exploratory Data Analysis Hypothesis Testing Cross Validation 52