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ML-EDA

21 posts

Rank Transformation

Last Updated: 23 July 2025

Rank Transformation is a non-parametric data preprocessing technique in which numerical data are replaced by their ranks when sorted. This approach is often used to mitiga...read more

Calculating Covariance and Correlation

Last Updated: 24 May 2025

Covariance and correlation are two statistical concepts that are used to analyze and find the relationship between the data to understand the datasets better. These two co...read more

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Steps for Mastering Exploratory Data Analysis | EDA Steps

Last Updated: 23 July 2025

Mastering exploratory data analysis (EDA) is crucial for understanding your data, identifying patterns, and generating insights that can inform further analysis or decisio...read more

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Data Duplication Removal from Dataset Using Python

Last Updated: 23 July 2025

Duplicates are a common issues in real-world datasets that can negatively impact our analysis. They occur when identical rows or entries appear multiple times in a dataset...read more

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Python pandas-dataFrame

AI-ML-DS With Python

Handling Categorical Data in Python

Last Updated: 23 July 2025

Categorical data refers to features that contain a fixed set of possible values or categories that data points can belong to. Handling categorical data correctly is import...read more

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Technical Scripter

Machine Learning

Technical Scripter 2022

Exploratory Data Analysis on Iris Dataset

Last Updated: 23 July 2025

Exploratory Data Analysis (EDA) is a technique to analyze data using some visual Techniques. With this technique, we can get detailed information about the statistical sum...read more

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AI-ML-DS With Python

What is Exploratory Data Analysis?

Last Updated: 23 July 2025

Exploratory Data Analysis (EDA) is a important step in data science as it visualizing data to understand its main features, find patterns and discover how different parts ...read more

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AI-ML-DS With Python

Six Steps of Data Analysis Process

Last Updated: 23 July 2025

This article provides a detailed overview of the data analysis process, outlining the key steps involved and best practices for each stage.Steps for Data Analysis ProcessD...read more

Computer Subject

Scatter Plot Matrix

Last Updated: 23 May 2024

In a dataset, for k set of variables/columns (X1, X2, ....Xk), the scatter plot matrix plot all the pairwise scatter between different variables in the form of a matrix. S...read more

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Machine Learning

Data Visualization

Last Updated: 23 July 2025

A lag plot is a special type of scatter plot in which the X-axis represents the dataset with some time units behind or ahead as compared to the Y-axis. The difference bet...read more

Machine Learning

Data Visualization

Normal Probability Plot

Last Updated: 23 July 2025

The probability plot is a way of visually comparing the data coming from different distributions. These data can be of empirical dataset or theoretical dataset. The probab...read more

Machine Learning

Data Visualization

Last Updated: 22 January 2021

A contour plot is a graphical method to visualize the 3-D surface by plotting constant Z slices called contours in a 2-D format. The contour plot is an alternative to a 3-...read more

Machine Learning

Data Visualization

Last Updated: 23 July 2025

Dex mean plot is used to analyzing the data from the respective set of factors that contains two or more than two levels. The plot represents the mean values of two or mor...read more

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Machine Learning

Data Visualization

Complex Demodulation Phase and Amplitude Plot

Last Updated: 14 August 2021

Complex Demodulation Phase PlotIn the frequency analysis of time series models, a common model is a sinusoidal wave:Y_{i} = C + \alpha\sin{(2\pi\omega t_{i} + \phi)} + E_{...read more

Machine Learning

Data Visualization

Dex scatter Plots

Last Updated: 23 July 2025

The scatter plot is used to determine whether two variables have some correlation with each other. This plot uses dots to represent different data points in the dataset. T...read more

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Machine Learning

Data Visualization