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 271

Risk Modeling Statistics Data Science 271

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 330

Modeling Testing Data Science Publishing 330

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 […]. In this article, we will […].

Optimization 337

Optimization Modeling Deep Learning Data Science 337

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 397

Statistics Data Science Publishing Modeling 397

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 343

Statistics Machine Learning Data Science Publishing 343

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 226

Forecasting Modeling Statistics Data Science 226

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 374

Machine Learning Modeling Data Science Publishing 374

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 388

Modeling Data Science Publishing Analytics 388

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 315

Metrics Modeling Data Science Publishing 315

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 306

Modeling Data Science Publishing Analytics 306

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 296

Measurement Modeling Data Science Publishing 296

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 343

Statistics Data Science Publishing Modeling 343

Smarten

NOVEMBER 23, 2023

Smarten is pleased to announce that its Smarten Augmented Analytics solution is included as a Representative Vendor in the Market Guide for Augmented Analytics Published October 2, 2023 (ID G00780764). The Smarten solution requires no data science skills, knowledge of statistical analysis or BI expertise.

Publishing 62

Publishing Marketing Analytics Predictive Modeling 62

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 271

Metrics Modeling Data Science Publishing 271

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 271

Statistics Sales Data Science Publishing 271

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 271

Machine Learning Predictive Modeling Statistics Data Science 271

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 315

Testing Statistics Data Science Publishing 315

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 284

Visualization Modeling Data Science Publishing 284

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 302

Statistics Data Science Publishing Modeling 302

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 244

Machine Learning Modeling Data Science Publishing 244

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 391

Machine Learning Data Science Data Collection Testing 391

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 253

Modeling Software Sales Statistics 253

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 294

Machine Learning Data Science Publishing Modeling 294

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 314

Machine Learning Data Science Publishing Modeling 314

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 399

Data Science Publishing Modeling Analytics 399

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. It helps us in understanding the relationship between dependent and independent variables.

Predictive Modeling 320

Predictive Modeling Data Science Publishing Modeling 320

IBM Big Data Hub

APRIL 9, 2024

Preparing and annotating data IBM watsonx.data helps organizations put their data to work, curating and preparing data for use in AI models and applications. “For the Masters we use 290 traditional AI models to project where golf balls will land,” says Baughman. ” Watsonx.ai ” Watsonx.ai

Management 88

Management IT Machine Learning Metrics 88

DataRobot Blog

DECEMBER 6, 2022

Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results. Bureau of Labor Statistics predicts that the employment of data scientists will grow 36 percent by 2031, 1 much faster than the average for all occupations. Read the blog. Read the blog.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

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 323

Deep Learning Machine Learning Data Science Publishing 323

IBM Big Data Hub

JANUARY 25, 2024

Yet many AI creators are currently facing backlash for the biases, inaccuracies and problematic data practices being exposed in their models. The math demonstrates a powerful truth All predictive models, including AI, are more accurate when they incorporate diverse human intelligence and experience.

Predictive Modeling 91

Predictive Modeling Modeling Risk Statistics 91

Smart Data Collective

JUNE 4, 2021

Data scientists use algorithms for creating data models. These data models predict outcomes of new data. Data science needs knowledge from a variety of fields including statistics, mathematics, programming, and transforming data. Mathematics, statistics, and programming are pillars of data science. Statistics.

Data Science 104

Data Science Statistics Deep Learning Machine Learning 104

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. billion in 2022, according to a research study published by The Insight Partners in August 2022.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

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

OCTOBER 12, 2020

This article was published as a part of the Data Science Blogathon. Introduction Machine learning is about building a predictive model using historical data. The post Quick Guide to Evaluation Metrics for Supervised and Unsupervised Machine Learning appeared first on Analytics Vidhya.

Machine Learning 296

Machine Learning Metrics Predictive Modeling Data Science 296

Analytics Vidhya

DECEMBER 2, 2020

This article was published as a part of the Data Science Blogathon. Introduction One of the most used matrices for measuring model performance is. The post A Measure of Bias and Variance – An Experiment appeared first on Analytics Vidhya.

Measurement 284

Measurement Data Science Publishing Modeling 284

Analytics Vidhya

MARCH 20, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Some time back, I was making the predictive model. The post STANDARDIZED VS UNSTANDARDIZED REGRESSION COEFFICIENT appeared first on Analytics Vidhya.

Predictive Modeling 235

Predictive Modeling Data Science Publishing Modeling 235

O'Reilly on Data

MAY 18, 2020

This article answers these questions, based on our combined experience as both a lawyer and a data scientist responding to cybersecurity incidents, crafting legal frameworks to manage the risks of AI, and building sophisticated interpretable models to mitigate risk. And last is the probabilistic nature of statistics and machine learning (ML).

Risk 359

Risk Modeling Data Processing Software 359