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Statistics at a glance for data science: standard guidelines

Increase your data analyzing power of vast dataset with sample.

Basic concept of variable types, levels of measurement and different representation techniques with python.

Data plays a key role in every organization because it helps business leaders to make suitable decisions based on facts, statistical numbers, and trends.

Get insights into the Dataset by Visualizing the frequency distribution.

How to Compare Multiple Frequency Distribution and Get Important Information.

The Frequency distribution is an overview of all distinct values in some variables with the number of times they occur.

Normalization is the key part of data pre-processing which is used to transform features on a similar scale.

Probability is a numerical concept used to measure the chance of any specific event or outcome occurring. The value of the probability ranges from 0 to 1.

Complete Guideline for Naive Bayes Classifier with Implementation from Scratch.

Do Hypothesis Test and Draw Conclusions For Population Parameters From a Sample Data

Are You Thinking How to Compare Among the Multiple Groups? No Worries! Just Use ANOVA

Complete Guideline to Find Dependencies among Categorical Variables with Chi-Square Test

Linear regression is one of the simple and widely used regression algorithms. The regression algorithms predict continuous values.

There are many machine learning algorithms for solving different problems. This article will introduce a machine learning algorithm which can solve the regression problem (prediction of continuous value) with multiple variables.

Sometimes we need to classify an object or data based on its features. Linear regression algorithms can’t solve these problems. In this scenario, logistic regression’s necessity comes in.

The machine learning problems can be supervised or unsupervised. This article focuses on an unsupervised machine learning algorithm called ‘K-means’ clustering.

Implementation and Details Explanation of the KNN Algorithm

Implementation of Efficient K-means Clustering Algorithm; A Research Outcome

Work with Text Files and Get Familiar with Awesome Techniques in Python.

Make Your PDF Manipulation Task Easy with PyPDF2 and Regular Expression.

How machines recognize human language and act accordingly

Learn How to Implement Basic NLP Techniques with Python Libraries

The easiest way to create a text classifier with a basic Machine Learning model for beginners

ChatGPT (Chat Generative Pre-Trained Transformer) is a generative AI model for carrying conversation. It was developed by OpenAI and launched in the last year.

We, human beings, perceive the environment and surroundings with our vision system. The human eye, brain, and limbs work together to perceive the environment and act accordingly. An intelligent system can perform .......

The eye is such a beautiful creation of the creators, which can perceive the color of an object in an astatically pleasing and harmonious way. Color is a visual perception based on the electromagnetic spectrum.

This article will discuss one of the important image processing techniques called blending and pasting images. This knowledge is essential both for image processing and computer vision. Though the techniques are simple, it is one of the core basics of computer vision.

Image thresholding works on a grayscale image. It is a way of segmenting the grayscale image into a binary image. For thresholding, a particular pixel intensity value is considered a threshold value.

Every day, we deal with a lot of images. The images come with different intensities and resolutions. Sometimes, we can’t extract proper information from an image for quality.

Histogram is the process of visual representation of frequency distribution with a bar plot. In computer vision, an image histogram is the process of representation of the frequency of intensity values with a bar plot.

If you read the article till the end, you will be able to create your own. No complex or higher-level coding or mathematics knowledge is needed. Let’s move on.

Detecting face from complex image is easy and fun with MediaPipe

Data visualization itself is a universal language. I have considered visualization as a universal language because of its ability to represent information to every walk of people.

Data visualization is a way to represent data and information graphically. In another sense, it can be described as translating data into a visual context using charts, plots, animations, infographics, etc.

Without visualization, data is a collection of some numerical or categorical values. Proper visualization paves the way to finding valuable information.

Some Unique Data Visualization Techniques for Getting High-Level Insight into the Data

A Complete Guideline for Bar Chart Race and Interactive Choropleth Map of COVID-19 Pandemic with Python

A Huge Collections of Best Online Data Science Resources, Books and Many more

A complete tutorial of Datapane in 7 min read

How Qualitative Data Can Be Analyzed and Interpreted in the Most Easiest Way