Analytics Vidhya

NOVEMBER 23, 2021

This article was published as a part of the Data Science Blogathon. Regression analysis is used to solve problems of prediction based on data statistical parameters. In this article, we will look at the use of a polynomial regression model on a simple example using real statistic data.

Modeling 391

Modeling Statistics Data Science Publishing 391

Analytics Vidhya

FEBRUARY 20, 2023

Introduction In this article, our focus will be on learning how to solve a time series problem. Time series analysis is a statistical technique used to analyze data […] The post How to Build Your Time Series Model? Before we take up a time series problem, we must familiarise ourselves with the concept of forecasting.

Modeling 273

Modeling Statistics Forecasting Analytics 273

Analytics Vidhya

APRIL 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction One of the key challenges in Machine Learning Model is the explainability of the ML Model that we are building. In general, ML Model is a Black Box.

Modeling 268

Modeling Machine Learning Statistics Data Science 268

Analytics Vidhya

MARCH 1, 2022

This article was published as a part of the Data Science Blogathon. Credit evaluations have progressed from being subjective decisions by the bank’s credit experts to a more statistically advanced evaluation. The post Gaussian Naive Bayes Algorithm for Credit Risk Modelling appeared first on Analytics Vidhya.

Risk 264

Risk Modeling Statistics Data Science 264

Analytics Vidhya

DECEMBER 23, 2021

This article was published as a part of the Data Science Blogathon Optimization Optimization provides a way to minimize the loss function. Optimization aims to reduce training errors, and Deep Learning Optimization is concerned with finding a suitable model. In this article, we will […].

Optimization 326

Optimization Modeling Deep Learning Data Science 326

Analytics Vidhya

JANUARY 20, 2022

This article was published as a part of the Data Science Blogathon. The post A brief introduction to Multilevel Modelling appeared first on Analytics Vidhya.

Modeling 328

Modeling Testing Data Science Publishing 328

Analytics Vidhya

MAY 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction to Random Forest Missing values have always been a concern for any statistical analysis. They significantly reduce the study’s statistical powers, which may lead to faulty conclusions.

Statistics 392

Statistics Data Science Publishing Modeling 392

Analytics Vidhya

JULY 5, 2022

This article was published as a part of the Data Science Blogathon. Introduction to Imbalanced Datasets The accuracy achieved by many of the machine learning models using traditional statistical algorithms increases by just around 2% or so when the size of the training dataset is increased from 20% to 80%.

Statistics 342

Statistics Machine Learning Data Science Publishing 342

Analytics Vidhya

OCTOBER 28, 2020

This article was published as a part of the Data Science Blogathon. Introduction A popular and widely used statistical method for time series forecasting. The post How to Create an ARIMA Model for Time Series Forecasting in Python appeared first on Analytics Vidhya.

Forecasting 209

Forecasting Modeling Statistics Data Science 209

Analytics Vidhya

OCTOBER 11, 2020

This article was published as a part of the Data Science Blogathon. So you have successfully built your classification model. The post HOW TO CHOOSE EVALUATION METRICS FOR CLASSIFICATION MODEL appeared first on Analytics Vidhya. INTRODUCTION Yay!! What should.

Metrics 322

Metrics Modeling Data Science Publishing 322

Analytics Vidhya

OCTOBER 9, 2020

This article was published as a part of the Data Science Blogathon. Introduction: Probabilistic Graphical Models (PGM) capture the complex relationships between random variables. The post Complete R Tutorial To Build Probabilistic Graphical Models! appeared first on Analytics Vidhya.

Modeling 313

Modeling Data Science Publishing Analytics 313

Analytics Vidhya

DECEMBER 16, 2020

This article was published as a part of the Data Science Blogathon. The post Decluttering the performance measures of classification models appeared first on Analytics Vidhya. Introduction There are so many performance evaluation measures when it comes to.

Measurement 299

Measurement Modeling Data Science Publishing 299

Analytics Vidhya

JULY 23, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Logistic Regression is another statistical model which is used for. The post Geometrical Approach To Understand Logistic Regression appeared first on Analytics Vidhya.

Statistics 346

Statistics Data Science Publishing Modeling 346

Analytics Vidhya

SEPTEMBER 6, 2021

This article was published as a part of the Data Science Blogathon Introduction Q-Q plots are also known as Quantile-Quantile plots. The post Q-Q plot – Ensure Your ML Model is Based on the Right Distribution appeared first on Analytics Vidhya.

Modeling 338

Modeling Data Science Publishing Analytics 338

Analytics Vidhya

SEPTEMBER 29, 2020

This article was published as a part of the Data Science Blogathon. The post How Machine Learning Models Fail to Deliver in Real-World Scenarios appeared first on Analytics Vidhya. Introduction Yesterday, my brother broke an antique at home. I began to.

Machine Learning 313

Machine Learning Modeling Data Science Publishing 313

Analytics Vidhya

JULY 20, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Evaluation Metrics for Classification Problem Image source ?[link] The post Metrics to Evaluate your Classification Model to take the right decisions appeared first on Analytics Vidhya. link] Abstract The most.

Metrics 268

Metrics Modeling Data Science Publishing 268

Analytics Vidhya

MARCH 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction to Linear Regression Image 1: Sales vs Budget data with a linear model representation Linear regression is a statistical method that presumes a linear relationship between the input and the output variables.

Statistics 260

Statistics Sales Data Science Publishing 260

Analytics Vidhya

MAY 28, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Logistic Regression, a statistical model is a very popular and. The post 20+ Questions to Test your Skills on Logistic Regression appeared first on Analytics Vidhya.

Testing 322

Testing Statistics Data Science Publishing 322

Analytics Vidhya

JULY 25, 2022

This article was published as a part of the Data Science Blogathon. Machine Learning is the method of teaching computer programs to do a specific task accurately (essentially a prediction) by training a predictive model using various statistical algorithms leveraging data. Source: [link] For […].

Machine Learning 263

Machine Learning Predictive Modeling Statistics Data Science 263

Analytics Vidhya

NOVEMBER 25, 2020

This article was published as a part of the Data Science Blogathon. The post Creating Linear Model, It’s Equation and Visualization for Analysis appeared first on Analytics Vidhya. Introduction Have you ever been tasked with visualizing the relationship between each.

Visualization 286

Visualization Modeling Data Science Publishing 286

Analytics Vidhya

SEPTEMBER 28, 2021

This article was published as a part of the Data Science Blogathon In this tutorial, we will learn: Introduction to Natural Language Processing Phases of Natural Language Processing Introduction to spaCy Installation and local setup of spaCy Statistical models available in spaCy Reading and processing text Spans Tokenization Sentence Detection Stopwords (..)

Statistics 273

Statistics Data Science Publishing Modeling 273

IBM Big Data Hub

OCTOBER 3, 2023

Every week during football season, an estimated 60 million Americans pore over player statistics, point projections and trade proposals, looking for those elusive insights to guide their roster decisions and lead them to victory. But numbers only tell half the story. These features help us do just that.”

Modeling 91

Modeling Statistics Consulting Unstructured Data 91

Analytics Vidhya

MAY 21, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Whenever we build any machine learning model, we feed it. The post 4 Ways to Evaluate your Machine Learning Model: Cross-Validation Techniques (with Python code) appeared first on Analytics Vidhya.

Machine Learning 203

Machine Learning Modeling Data Science Publishing 203

O'Reilly on Data

MARCH 26, 2024

TL;DR LLMs and other GenAI models can reproduce significant chunks of training data. Researchers are finding more and more ways to extract training data from ChatGPT and other models. And the space is moving quickly: SORA , OpenAI’s text-to-video model, is yet to be released and has already taken the world by storm.

Modeling 276

Modeling Machine Learning Risk Advertising 276

O'Reilly on Data

DECEMBER 12, 2019

Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML. Because all ML models make mistakes, everyone who cares about ML should also care about model debugging. [1]

Machine Learning 192

Machine Learning Modeling Testing Risk Management 192

Analytics Vidhya

JULY 9, 2022

This article was published as a part of the Data Science Blogathon. Introduction In order to build machine learning models that are highly generalizable to a wide range of test conditions, training models with high-quality data is essential.

Machine Learning 371

Machine Learning Data Science Data Collection Testing 371

O'Reilly on Data

DECEMBER 12, 2023

If the output of a model can’t be owned by a human, who (or what) is responsible if that output infringes existing copyright? In an article in The New Yorker , Jaron Lanier introduces the idea of data dignity, which implicitly distinguishes between training a model and generating output using a model.

Modeling 254

Modeling Software Sales Statistics 254

Analytics Vidhya

APRIL 6, 2023

Introduction This article uses to predict student performance. For many applications, including online customer service, marketing, and finance, the stock price is a crucial challenge.

Finance 291

Finance Modeling Marketing Analytics 291

O'Reilly on Data

FEBRUARY 16, 2023

Large language models like ChatGPT and Google’s LaMDA aren’t designed to give correct results. Remember that these tools aren’t doing math, they’re just doing statistics on a huge body of text. You can train models that are optimized to be correct—but that’s a different kind of model.

Testing 212

Testing Statistics Modeling Optimization 212

O'Reilly on Data

JUNE 18, 2019

There has been a significant increase in our ability to build complex AI models for predictions, classifications, and various analytics tasks, and there’s an abundance of (fairly easy-to-use) tools that allow data scientists and analysts to provision complex models within days. Data integration and cleaning.

Machine Learning 259

Machine Learning Data Quality Statistics Modeling 259

Analytics Vidhya

JANUARY 4, 2023

This article was published as a part of the Data Science Blogathon. Introduction Machine learning algorithms are one of the essential parameters while training and building an intelligent model for some of the problem statements. Many machine learning algorithms are used in several cases due to their faster and more accurate results.

Machine Learning 275

Machine Learning Data Science Publishing Modeling 275

Analytics Vidhya

FEBRUARY 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction Machine learning models are garbage in garbage-out boxes, and it is essential to address any missing data before feeding it to your model. Missing data in your dataset could be due to multiple reasons like 1) The data was not available.

Machine Learning 297

Machine Learning Data Science Publishing Modeling 297

Analytics Vidhya

MARCH 22, 2022

This article was published as a part of the Data Science Blogathon. Introduction Feature analysis is an important step in building any predictive model. In this article, we will look into a very simple feature analysis technique that can be used in cases such as […].

Predictive Modeling 276

Predictive Modeling Data Science Publishing Modeling 276

Analytics Vidhya

DECEMBER 4, 2020

This article was published as a part of the Data Science Blogathon. Introduction Random Forests are always referred to as black-box models. Let’s try. The post Lets Open the Black Box of Random Forests appeared first on Analytics Vidhya.

Data Science 375

Data Science Publishing Modeling Analytics 375

Analytics Vidhya

MAY 22, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In Machine learning or Deep Learning, some of the models. The post How to transform features into Normal/Gaussian Distribution appeared first on Analytics Vidhya.

Deep Learning 312

Deep Learning Machine Learning Data Science Publishing 312

CIO Business Intelligence

AUGUST 11, 2023

Transformer models take applications such as language translation and chatbots to a new level. Innovations such as the self-attention mechanism and multi-head attention enable these models to better weigh the importance of various parts of the input, and to process those parts in parallel rather than sequentially. It consists of 11.5

Unstructured Data 142

Unstructured Data Modeling Machine Learning Data mining 142

Domino Data Lab

JULY 28, 2021

Through a marriage of traditional statistics with fast-paced, code-first computer science doctrine and business acumen, data science teams can solve problems with more accuracy and precision than ever before, especially when combined with soft skills in creativity and communication. Math and Statistics Expertise.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110