Skip to content
relataly.com

relataly.com

  • Machine Learning
    • Simple Regression
    • Classification: Two Class
    • Classification: Multi-Class
    • Clustering
    • Time Series Forecasting
    • Anomaly Detection
    • Natural Language
    • Recommender Systems
    • Reinforcement Learning
    • Responsible AI
  • Use Cases
    • Stock Market Forecasting
    • Algorithmic Trading
    • Sentiment Analysis
    • Churn Prediction
    • Fraud Detection
    • Predictive Maintenance
    • Marketing Automation
    • Customer Segmentation
    • Sales Forecasting
    • Fighting Crime
    • Risk Management
    • Image Recognition
  • Algorithms
    • CNNs
    • RNNs (LSTM)
    • Decision Trees
    • Random Decision Forests
    • Random Isolation Forest
    • Local Outlier Factor
    • Gradient Boosting
    • Collaborative Filtering
    • Content-based Filtering
    • K-Nearest Neighbors
    • K-Means
    • Affinity Propagation
    • Agglomerative Clustering
    • Logistic Regression
    • Naive Bayes
    • ARIMA
  • Data Science
    • Exploratory Data Analysis
    • Feature Engineering
    • Hyperparameter Tuning
    • Dimensionality Reduction
    • Model Interpretation
    • Data Visualization
    • Correlation
    • Measuring Performance
    • Cross-Validation
    • SQLite
    • Data Science Environments
      • Anaconda
      • Azure Machine Learning
    • Python Libraries
      • Scikit-Learn
      • Tensorflow
      • Keras
      • Pytorch
      • PySpark
      • Chainer
      • OpenAI Gym
      • Seaborn
      • Fairlearn
      • Facebook Prophet
      • GeoPandas
  • Data Sources
    • OpenAI API
    • REST APIs
    • Coinmarketcap API
    • Coinbase API
    • Gate.io API
    • Yahoo Finance API
    • Statworx COVID-19 API
    • Twitter API
    • Reddit API
    • Kaggle Competitions
    • Synthetic Data
  • About
  • Finance
  • Insurance
  • Healthcare
  • Telecom.
  • Manufacturing
  • Retail
  • Logistics

Exploratory Data Analysis (EDA)

Here you’ll find all articles related to exploratory data analysis (EDA), whether its Python tutorials or conceptual articles.

EDA is used to analyze and examine data sets and summarize their main characteristics. This process often involves the use of data visualization techniques. EDA plays an important role in developing machine learning models in the context of feature engineering, for example, by making relationships between features and target variables apparent. It makes it easier for data scientists to discover patterns, detect anomalies, test a hypothesis, or verify assumptions. It also plays an important role in creating, discovering, and selecting features for machine learning (feature engineering). For example, EDA can highlight relationships among variables that help data scientists to select and improve a feature subset.

The goal of EDA is to uncover the underlying structure and patterns in a dataset, and to identify any potential anomalies or problems that need to be addressed. This can be done using a variety of techniques, such as visualizing the data using plots and graphs, computing summary statistics, or fitting simple models to the data.

EDA is an important step in the data analysis process, because it allows analysts to gain insights and understanding of the data that can inform subsequent steps in the analysis. It is also an iterative process, and analysts may go back and forth between different techniques and approaches as they mixes to other data sets.

Predictive Maintenance: Predicting Machine Failure using Sensor Data with XGBoost and Python

March 9, 2023January 8, 2023
predictive maintenance python machine learning tutorial iot manufacturing

Predictive maintenance is a game-changer for the modern industry. Still, it is based on a simple idea: By using machine … Read more

Efficiently Segment Customers using Hierarchical Clustering in Python

March 10, 2023December 22, 2022
isometric_view_cartoon_large_group_people_using_phone

Have you ever found yourself wondering how you can better understand your customer base and target your marketing efforts more … Read more

Feature Engineering and Selection for Regression Models with Python and Scikit-learn

March 6, 2023September 26, 2022
car price prediction machine learning tutorial python-min

Training a machine learning model is like baking a cake: the quality of the end result depends on the ingredients … Read more

  • Relataly LinkedIn Page
  • Relataly Twitter Page
  • Git Hub Repository
  • About
  • Privacy Policy
  • Impressum
© relataly.com 2023
We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept”, you consent to the use of ALL the cookies.
Do not sell my personal information.
Cookie settingsACCEPT
Privacy & Cookies Policy

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may have an effect on your browsing experience.
Necessary
Always Enabled
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Non-necessary
Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.
SAVE & ACCEPT