Analytics Vidhya

AUGUST 13, 2024

Introduction Statistics is a cornerstone of data science, machine learning, and many analytical domains. GitHub hosts numerous repositories that are excellent resources for anyone looking to deepen their statistical knowledge. Mastering it can significantly enhance your ability to interpret data and make informed decisions.

Statistics 314

Statistics Data Processing Machine Learning Data Science 314

Analytics Vidhya

APRIL 28, 2020

The post Statistics for Data Science: What is Normal Distribution? Introduction to the Normal Distribution Have you heard of the bell curve? It tends to be among the most discussed water-cooler topics among people. appeared first on Analytics Vidhya.

Statistics 380

Statistics Data Science Analytics IT 380

Analytics Vidhya

JULY 17, 2024

Introduction Statistical Analysis of text is one of the important steps of text pre-processing. The pyNLPL […] The post Textual Statistical Analysis Using pyNLPL (Pineapple) Library appeared first on Analytics Vidhya. It helps us understand our text data in a deep, mathematical way.

Statistics 303

Statistics Modeling Analytics IT 303

Analytics Vidhya

MARCH 22, 2024

Introduction At the heart of data science lies statistics, which has existed for centuries yet remains fundamentally essential in today’s digital age. Because basic statistics concepts are the backbone of data analysis, enabling us to make sense of the vast amounts of data generated daily.

Statistics 326

Statistics Data Science Analytics IT 326

Analytics Vidhya

NOVEMBER 2, 2023

Introduction Statistical analysis means investigating trends, patterns, and relationships using quantitative data. To draw valid results, statistical analysis requires planning from the start of the research process. It is a crucial research tool used by scientists, governments, businesses, and other organizations.

Statistics 312

Statistics Analytics IT 312

Analytics Vidhya

MAY 15, 2019

Introduction “You can’t prove a hypothesis; you can only improve or disprove it.” – Christopher Monckton Every day we find ourselves testing new ideas, The post Statistics for Data Science: Introduction to t-test and its Different Types (with Implementation in R) appeared first on Analytics Vidhya.

Statistics 280

Statistics Testing Data Science IT 280

Analytics Vidhya

MAY 2, 2019

Introduction What is one of the most important and core concepts of statistics that enables us to do predictive modeling, and yet it often. The post Statistics 101: Introduction to the Central Limit Theorem (with implementation in R) appeared first on Analytics Vidhya.

Statistics 300

Statistics Predictive Modeling Modeling Analytics 300

Analytics Vidhya

NOVEMBER 20, 2024

A key idea in data science and statistics is the Bernoulli distribution, named for the Swiss mathematician Jacob Bernoulli. It is crucial to probability theory and a foundational element for more intricate statistical models, ranging from machine learning algorithms to customer behaviour prediction.

Statistics 191

Statistics Machine Learning Data Science Modeling 191

Analytics Vidhya

NOVEMBER 26, 2024

While Pandas’ describe() function has been a go-to tool for many, its functionality is limited to numeric data and provides only basic statistics. Data summarization is an essential first step in any data analysis workflow.

Statistics 208

Statistics Visualization Analytics IT 208

Analytics Vidhya

JUNE 7, 2020

The post Introduction to ANOVA for Statistics and Data Science (with COVID-19 Case Study using Python) appeared first on Analytics Vidhya. Introduction “A fact is a simple statement that everyone believes. It’s innocent, unless found guilty. A Hypothesis is a novel suggestion that no one.

Statistics 289

Statistics Data Science Analytics IT 289

Analytics Vidhya

JUNE 11, 2024

Introduction Exploratory Data Analysis (EDA) is a process of describing the data by means of statistical and visualization techniques in order to bring important aspects of that data into focus for further analysis. Exploratory Data Analysis […] The post What is Exploratory Data Analysis (EDA) and How Does it Work?

IT 306

IT Statistics Visualization Analytics 306

Analytics Vidhya

NOVEMBER 25, 2024

The normal distribution, also known as the Gaussian distribution, is one of the most widely used probability distributions in statistics and machine learning. Understanding its core properties, mean and variance, is important for interpreting data and modelling real-world phenomena.

Statistics 201

Statistics Machine Learning Modeling Analytics 201

Analytics Vidhya

FEBRUARY 17, 2022

Source: [link] Data are details, facts, statistics, or pieces of information, typically numerical. Source: [link] What is DATA by Definition? Data are a set of values of qualitative or quantitative variables about one or more persons or objects. While running a huge […].

Data Governance 288

Data Governance IT Statistics Data Science 288

datapine

JANUARY 24, 2021

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. That being said, it seems like we’re in the midst of a data analysis crisis. That being said, it seems like we’re in the midst of a data analysis crisis. Data Is Only As Good As The Questions You Ask.

IT 317

IT Statistics KPI Data-driven 317

Analytics Vidhya

DECEMBER 6, 2021

” The only way to test the hypothesis is to look for all the information that disagrees with it – Karl Popper“ Hypothesis Testing comes under a broader subject of Inferential Statistics where we use data samples to draw inferences on the population […].

Testing 398

Testing Statistics Data Science Publishing 398

Analytics Vidhya

NOVEMBER 27, 2021

Statistics plays an important role in the domain of Data Science. One of the popular statistical processes is Hypothesis Testing having vast usability, not […]. This article was published as a part of the Data Science Blogathon.

Testing 340

Testing Statistics Deep Learning Machine Learning 340

O'Reilly on Data

MARCH 23, 2023

ChatGPT, or something built on ChatGPT, or something that’s like ChatGPT, has been in the news almost constantly since ChatGPT was opened to the public in November 2022. What is it, how does it work, what can it do, and what are the risks of using it? A quick scan of the web will show you lots of things that ChatGPT can do. It’s much more.

IT 348

IT Modeling Testing Risk 348

Analytics Vidhya

JUNE 17, 2024

Introduction A fundamental component of statistical technique, regression analysis is essential for examining and measuring connections between variables. Its uses are numerous and diverse, from forecasting financial trends to evaluating medical results.

Statistics 314

Statistics Forecasting Measurement Analytics 314

David Menninger's Analyst Perspectives

JANUARY 15, 2025

I use the term external data to include any information about the world outside an organization (including economic and market statistics), competitors (such as pricing and locations) and customers. Enterprises do not operate in a vacuum, and things happening outside an organizations walls directly impact performance.

Predictive Modeling 130

Predictive Modeling Forecasting Predictive Analytics Statistics 130

Analytics Vidhya

JANUARY 3, 2022

Introduction A language model in NLP is a probabilistic statistical model that determines the probability of a given sequence of words occurring in a sentence based on the previous words. This article was published as a part of the Data Science Blogathon. It helps to predict which word is more likely to appear next in the […].

Modeling 398

Modeling Statistics Data Science Publishing 398

CIO Business Intelligence

DECEMBER 3, 2024

A new area of digital transformation is under way in IT, say IT executives charged with unifying their tech strategy in 2025. Adopting emerging technology to deliver business value is a top priority for CIOs, according to a recent report from Deloitte. But that will change. “As Mentors are crucial to your success,” he says.

IT 128

IT Testing Software Data-driven 128

Analytics Vidhya

JUNE 17, 2024

Introduction The log-normal distribution is a fascinating statistical concept commonly used to model data that exhibit right-skewed behavior. This distribution has wide-ranging applications in various fields, such as biology, finance, and engineering.

Statistics 319

Statistics Finance Modeling Analytics 319

Analytics Vidhya

SEPTEMBER 22, 2022

It combines concepts and methods from the domains of mathematics, statistics, AI, and computer engineering. Introduction Data science is the study of data to gain important business insights.

Statistics 391

Statistics Data Science Analytics IT 391

Analytics Vidhya

APRIL 4, 2022

Usually, some data has to be left out of the training process so that only the most relevant data and features are used. This […]. The post Principal Component Analysis & its Implementions appeared first on Analytics Vidhya.

IT 306

IT Machine Learning Data Science Publishing 306

Analytics Vidhya

SEPTEMBER 10, 2019

Overview Sampling is a popular statistical concept – learn how it works in this article We will also talk about eight different types of. The post A Data Scientist’s Guide to 8 Types of Sampling Techniques appeared first on Analytics Vidhya.

Statistics 307

Statistics Analytics IT 307

Analytics Vidhya

MAY 5, 2024

It offers 30 tips and tricks to enhance coding skills, covering foundational matrix operations and advanced statistical analysis techniques. Introduction This guide focuses on mastering Python and NumPy, a powerful library for numerical computing.

Statistics 329

Statistics Analytics IT 329

Analytics Vidhya

APRIL 1, 2023

Introduction Bayesian Networks or statistics form an integral part of many statistical learning approaches. It involves using new evidence to modify the prior probabilities of an event. It uses conditional probabilities to improve the prior probabilities, which results in posterior probabilities.

Statistics 306

Statistics Analytics IT Modeling 306

Analytics Vidhya

AUGUST 15, 2024

Given the escalation of the use of statistical data in organizations […] The post How to Become a Statistician? Introduction Think of it as the ability to be the person that gets to make informed decisions for you and for your company in the fields such as healthcare or finance or the sports industry among others.

Statistics 290

Statistics Finance Analytics IT 290

Analytics Vidhya

JULY 2, 2024

Identifying and interpreting it is essential in many fields, including statistics, computer science, psychology, and marketing. Introduction Nominal data is one of the most fundamental types of data in data analysis. This article examines nominal data’s characteristics, applications, and differences from other data types.

Statistics 318

Statistics Marketing Analytics IT 318

Analytics Vidhya

JANUARY 29, 2022

It is a statistical classification algorithm. This article was published as a part of the Data Science Blogathon. AdaBoost stands for Adaptive Boosting. It is an algorithm that forms a committee of weak classifiers. It boosts the performance of machine learning algorithms.

Statistics 336

Statistics Machine Learning Data Science Publishing 336

Analytics Vidhya

JANUARY 10, 2023

It involves collecting, processing, and analysing data using math, statistics, specialized programming, artificial intelligence, machine learning, and more. Source: istockphoto Introduction Data Science is a fast-booming domain that has seen exponential growth in recent years.

Data Science 335

Data Science Statistics Machine Learning Analytics 335

Analytics Vidhya

JUNE 14, 2024

So data science is a vast and a type of mixed field of statistical analysis, computer science, and domain expertise. Introduction Mathematics is a way of uncovering possible insights or information from data as done in the field of Data Science.

Data Science 306

Data Science Statistics Analytics IT 306

Analytics Vidhya

JUNE 20, 2023

According to the Bureau of Labor Statistics (BLS), the employment of research analysts, including data analysts, is projected to increase by 23% from 2021 to 2031. This significant growth in data analysis careers presents promising prospects for aspiring candidates. It profoundly impacts the services and products provided to the public.

Statistics 337

Statistics Analytics IT Machine Learning 337

Analytics Vidhya

FEBRUARY 9, 2024

Introduction In the world of data analysis and statistics, visualizations play a crucial role in understanding the underlying patterns and outliers within datasets. One such powerful visualization tool is the boxplot, a box-and-whisker plot.

Statistics 336

Statistics Visualization Analytics IT 336

Analytics Vidhya

JUNE 12, 2024

Introduction For creating eye-catching and educational statistics visuals, Seaborn provides a high-level interface. Seaborn makes it simple to build and modify line plots, which are helpful for displaying data trends over time.

Statistics 303

Statistics Visualization Analytics IT 303

Analytics Vidhya

JUNE 14, 2024

It covers examples such as drink sizes and professional ranks, applications in subjective evaluations like customer satisfaction surveys, appropriate statistical measures, and the qualitative nature of ordinal data. Understanding this data is […] The post Understanding and Using Ordinal Data appeared first on Analytics Vidhya.

Statistics 302

Statistics Measurement Analytics IT 302

O'Reilly on Data

NOVEMBER 19, 2024

A Latent Space Theory for Emergent Abilities in Large Language Models ” by Hui Jiang presents a statistical explanation for emergent LLM abilities, exploring a relationship between ambiguity in a language versus the scale of models and their training data. “ Split each document into chunks. Do LLMs Really Adapt to Domains?

Unstructured Data 318

Unstructured Data Structured Data Statistics Modeling 318