Analytics Vidhya

OCTOBER 10, 2022

This article was published as a part of the Data Science Blogathon. Introduction Exploratory Data Analysis, or EDA, examines the data and identifies potential relationships between variables using numerical summaries and visualisations.

Exploratory Data Analysis 319

Exploratory Data Analysis Data Analysis Data Analysis EDA 319

Analytics Vidhya

APRIL 11, 2023

Introduction Analytics Vidhya DataHour is designed to provide valuable insights and knowledge to individuals looking to build a career in the data-tech industry. These sessions cover a wide range of topics, from the fields of artificial intelligence, and machine learning, and various topics related to data science.

Artificial Intelligence 306

Artificial Intelligence Artificial Intelligence Data Science Machine Learning 306

Towards AI

APRIL 7, 2024

Building an End-to-End Machine Learning Project to Reduce Delays in Aggressive Cancer Care. This article seeks to also explain fundamental topics in data science such as EDA automation, pipelines, ROC-AUC curve (how results will be evaluated), and Principal Component Analysis in a simple way. Figure 5: Code Magic!

Machine Learning 124

Machine Learning Machine Learning Exploratory Data Analysis EDA 124

Data Science Blog

FEBRUARY 23, 2023

1, Data is the new oil, but labeled data might be closer to it Even though we have been in the 3rd AI boom and machine learning is showing concrete effectiveness at a commercial level, after the first two AI booms we are facing a problem: lack of labeled data or data themselves.

Supervised Learning 264

Supervised Learning Machine Learning Machine Learning Deep Learning 264

Heartbeat

JANUARY 24, 2024

The importance of EDA in the machine learning world is well known to its users. Making visualizations is one of the finest ways for data scientists to explain data analysis to people outside the business. The EDA, the first chance for visualizations, will be the main topic of this article.

Exploratory Data Analysis 52

Exploratory Data Analysis EDA Data Analysis Data Analysis 52

Pickl AI

APRIL 3, 2025

Summary: Data Analysis focuses on extracting meaningful insights from raw data using statistical and analytical methods, while data visualization transforms these insights into visual formats like graphs and charts for better comprehension. EDA: Calculate overall churn rate. Its about storytelling with data.

Data Analysis 52

Data Analysis Data Analysis Data Visualization EDA 52

ODSC - Open Data Science

FEBRUARY 24, 2023

There are many well-known libraries and platforms for data analysis such as Pandas and Tableau, in addition to analytical databases like ClickHouse, MariaDB, Apache Druid, Apache Pinot, Google BigQuery, Amazon RedShift, etc. Data visualization can help here by visualizing your datasets.

Exploratory Data Analysis 126

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

Dataconomy

AUGUST 16, 2023

But make no mistake; data science is not a solitary endeavor; it’s a ballet of complexities and creativity. Data scientists waltz through intricate datasets, twirling with statistical tools and machine learning techniques. Exploring the question, “What does a data scientist do?

Data Scientist 172

Data Scientist Data Science Machine Learning Machine Learning 172

Pickl AI

DECEMBER 3, 2024

It involves steps like handling missing values, normalizing data, and managing categorical features, ultimately enhancing model performance and ensuring data quality. Introduction Data preprocessing is a critical step in the Machine Learning pipeline, transforming raw data into a clean and usable format.

Python 52

Python ML ML Exploratory Data Analysis 52

Mlearning.ai

MAY 23, 2023

Mathematics for Machine Learning and Data Science Specialization Proficiency in Programming Data scientists need to be skilled in programming languages commonly used in data science, such as Python or R. These languages are used for data manipulation, analysis, and building machine learning models.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

JULY 25, 2023

Proficient in programming languages like Python or R, data manipulation libraries like Pandas, and machine learning frameworks like TensorFlow and Scikit-learn, data scientists uncover patterns and trends through statistical analysis and data visualization. Big Data Technologies: Hadoop, Spark, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Dataconomy

JULY 28, 2023

In the digital age, the abundance of textual information available on the internet, particularly on platforms like Twitter, blogs, and e-commerce websites, has led to an exponential growth in unstructured data. Text data is often unstructured, making it challenging to directly apply machine learning algorithms for sentiment analysis.

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

Mlearning.ai

FEBRUARY 6, 2024

Exploratory Data Analysis(EDA)on Biological Data: A Hands-On Guide Unraveling the Structural Data of Proteins, Part II — Exploratory Data Analysis Photo from Pexels In a previous post, I covered the background of this protein structure resolution data set, including an explanation of key data terminology and details on how to acquire the data.

Decision Trees 52

Decision Trees Exploratory Data Analysis EDA Data Analysis 52

Mlearning.ai

MARCH 15, 2023

Build a Stocks Price Prediction App powered by Snowflake, AWS, Python and Streamlit — Part 2 of 3 A comprehensive guide to develop machine learning applications from start to finish. Introduction Welcome Back, Let's continue with our Data Science journey to create the Stock Price Prediction web application.

Python 52

Python AWS Exploratory Data Analysis Machine Learning 52

Ocean Protocol

SEPTEMBER 29, 2023

Fantasy Football is a popular pastime for a large amount of the world, we gathered data around the past 6 seasons of player performance data to see what our community of data scientists could create. This report took the data set provided in the challenge, as well as external data feeds and alternative sources.

Cross Validation 59

Cross Validation Predictive Analytics Exploratory Data Analysis EDA 59

Pickl AI

MAY 30, 2024

You will collect and clean data from multiple sources, ensuring it is suitable for analysis. You will perform Exploratory Data Analysis to uncover patterns and insights hidden within the data. Also Read: Explore data effortlessly with Python Libraries for (Partial) EDA: Unleashing the Power of Data Exploration.

Data Analysis 52

Data Analysis Data Analysis Data Science Exploratory Data Analysis 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.

Data Analysis 59

Data Analysis Data Analysis EDA Exploratory Data Analysis 59

Pickl AI

JULY 20, 2023

Descriptive Analytics Projects: These projects focus on summarizing historical data to gain insights into past trends and patterns. Examples include generating reports, dashboards, and data visualizations to understand business performance, customer behavior, or operational efficiency.

Analytics 40

Analytics Analytics Big Data Big Data 40

Pickl AI

FEBRUARY 4, 2025

Example Use Cases Matplotlib is ideal for Data Analysis , scientific research, and Machine Learning projects. Researchers and analysts commonly use it to explore data distributions, plot trends, and present findings. Key Features Simplicity and Speed: Focused on quick and easy data visualization capabilities.

Python 52

Python Exploratory Data Analysis Data Analysis Data Analysis 52

Mlearning.ai

FEBRUARY 28, 2023

These are common Python libraries used for data analysis and visualization. Exploratory Data Analysis (EDA) Univariate EDA Price: The price of a used car is the target variable and has a highly skewed distribution, with a median value of around 53.5 The price is higher for used cars with automatic transmission.

Python 52

Python EDA Exploratory Data Analysis Data Analysis 52

Heartbeat

FEBRUARY 6, 2024

This project aims to predict whether a room is occupied based on the data collected from the sensors. The data set is collected from the UCI Machine Learning Repository. The data set contains 7 attributes: date, temperature, humidity, light, CO2, humidity ratio, and occupancy.

Exploratory Data Analysis 52

Exploratory Data Analysis Data Analysis Data Analysis Machine Learning 52

Mlearning.ai

JULY 29, 2023

Data visualization is an indispensable aspect of any data science project, playing a pivotal role in gaining insights and communicating findings effectively. What is data visualization? What is data visualization? Why do we choose Python data visualization tools for our projects?

Python 52

Python Data Visualization Data Science Exploratory Data Analysis 52