Analytics Vidhya

FEBRUARY 1, 2023

The amount of data is insufficient until it does not reflect or we cannot find meaningful information that can drive business […] The post Building Customer Churn Prediction Model With Imbalance Dataset appeared first on Analytics Vidhya.

Predictive Modeling 306

Predictive Modeling Modeling Analytics IT 306

Analytics Vidhya

JUNE 1, 2023

Python programming predicts player performances, aiding team selections and game tactics. The analysis benefits fantasy […] The post The Science of T20 Cricket: Decoding Player Performance with Predictive Modeling appeared first on Analytics Vidhya.

Predictive Modeling 291

Predictive Modeling Modeling Statistics Optimization 291

Analytics Vidhya

MAY 24, 2021

The post How to create a Stroke Prediction Model? ArticleVideo Book This article was published as a part of the Data Science Blogathon INTRODUCTION: Stroke is a medical condition that can lead to the. appeared first on Analytics Vidhya.

Predictive Modeling 271

Predictive Modeling Modeling Data Science Publishing 271

Analytics Vidhya

JUNE 21, 2020

Overview You can perform predictive modeling in Excel in just a few steps Here’s a step-by-step tutorial on how to build a linear regression. The post Predictive Modeling in Excel – How to Create a Linear Regression Model from Scratch appeared first on Analytics Vidhya.

Predictive Modeling 298

Predictive Modeling Modeling Analytics Business Analytics 298

Analytics Vidhya

JUNE 20, 2021

The post App Building And Deployment of a Predictive Model Using Flask and AWS appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Objective An app is to be developed to determine whether an.

Predictive Modeling 245

Predictive Modeling Modeling Data Science Publishing 245

Analytics Vidhya

JUNE 29, 2021

ArticleVideo Book Introduction: In this article, I will be implementing a predictive model on Rain Dataset to predict whether or not it will rain. The post Predictive Modelling | Rain Prediction in Australia With Python. appeared first on Analytics Vidhya.

Predictive Modeling 190

Predictive Modeling Modeling Analytics IT 190

Cloudera

JANUARY 7, 2025

Ryan: Instead of looking in the past, we’ve built a predictive model and its origins come from people trusting in usthey ask us about different scenarios. The post Predictive Models Are Nothing Without Trust appeared first on Cloudera Blog.

Predictive Modeling 81

Predictive Modeling Modeling Forecasting Data-driven 81

Analytics Vidhya

NOVEMBER 23, 2024

Regardless of the cause, these gaps can significantly impact your analysis’s or predictive models’ quality and accuracy. […] The post How to Use Pandas fillna() for Data Imputation? appeared first on Analytics Vidhya.

Predictive Modeling 208

Predictive Modeling Machine Learning Data Collection Modeling 208

TDAN

AUGUST 17, 2021

If you are planning on using predictive algorithms, such as machine learning or data mining, in your business, then you should be aware that the amount of data collected can grow exponentially over time. In a world where big data is becoming more popular and the use of predictive modeling is on the rise, there are steps […].

Predictive Modeling 115

Predictive Modeling Modeling Data mining Big Data 115

Analytics Vidhya

DECEMBER 3, 2020

Introduction The general principle of ensembling is to combine the predictions of various. The post Improve your Predictive Model’s Score using a Stacking Regressor appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon.

Predictive Modeling 386

Predictive Modeling Data Science Publishing Modeling 386

David Menninger's Analyst Perspectives

JANUARY 15, 2025

There are many potential uses of this technology for finance and accounting departments, as I have noted , including enhancing the accuracy and agility of forecasting and planning by automating time-series analysis to rapidly develop predictive models for more accurate project revenue and costs, balance sheets and cash flow.

Predictive Modeling 130

Predictive Modeling Forecasting Predictive Analytics Statistics 130

Analytics Vidhya

JANUARY 15, 2022

Overview The core of the data science project is data & using it to build predictive models and everyone is excited and focused on building an ML model that would give us a near-perfect result mimicking the real-world business scenario. This article was published as a part of the Data Science Blogathon.

Predictive Modeling 396

Predictive Modeling Data Science Publishing Modeling 396

Analytics Vidhya

AUGUST 1, 2022

What is equally important here is the ability to communicate the data and insights from your predictive models through reports and dashboards. Introduction In this article, we will explore one of Microsoft’s proprietary products, “PowerBI”, in-depth. PowerBI is used for Business intelligence. And […].

Reporting 389

Reporting Predictive Modeling Dashboards Business Intelligence 389

KDnuggets

DECEMBER 1, 2023

Image by Author When you are getting started with machine learning, logistic regression is one of the first algorithms you’ll add to your toolbox. It's a Read more »

Predictive Modeling 160

Predictive Modeling Modeling Machine Learning IT 160

Analytics Vidhya

DECEMBER 4, 2022

Source: Canva Introduction The real-world data can be very messy and skewed, which can mess up the effectiveness of the predictive model if it is not addressed correctly and in time. The consequences of skewness become more pronounced when a large model is […].

Predictive Modeling 372

Predictive Modeling Data Science Publishing Modeling 372

Analytics Vidhya

MARCH 10, 2021

ArticleVideo Book Introduction Ensembling is nothing but the technique to combine several individual predictive models to come up with the final predictive model. The post Basic Ensemble Techniques in Machine Learning appeared first on Analytics Vidhya.

Machine Learning 307

Machine Learning Predictive Modeling Modeling Analytics 307

Analytics Vidhya

MAY 13, 2022

Introduction on AutoKeras Automated Machine Learning (AutoML) is a computerised way of determining the best combination of data preparation, model, and hyperparameters for a predictive modelling task. The AutoML model aims to automate all actions which require more time, such as algorithm selection, […].

Predictive Modeling 366

Predictive Modeling Machine Learning Data Science Publishing 366

Analytics Vidhya

JANUARY 29, 2024

Introduction Machine learning has revolutionized the field of data analysis and predictive modelling. With the help of machine learning libraries, developers and data scientists can easily implement complex algorithms and models without writing extensive code from scratch.

Machine Learning 353

Machine Learning Predictive Modeling Modeling Analytics 353

KDnuggets

DECEMBER 23, 2021

Data Science models come with different flavors and techniques — luckily, most advanced models are based on a couple of fundamentals. Which models should you learn when you want to begin a career as Data Scientist?

Predictive Modeling 160

Predictive Modeling Modeling Data Science Machine Learning 160

Analytics Vidhya

JUNE 26, 2024

Introduction In the field of machine learning, developing robust and accurate predictive models is a primary objective. Ensemble learning techniques excel at enhancing model performance, with bagging, short for bootstrap aggregating, playing a crucial role in reducing variance and improving model stability.

Machine Learning 304

Machine Learning Predictive Modeling Modeling Analytics 304

Analytics Vidhya

MARCH 22, 2022

Introduction Feature analysis is an important step in building any predictive model. This article was published as a part of the Data Science Blogathon. It helps us in understanding the relationship between dependent and independent variables.

Predictive Modeling 332

Predictive Modeling Data Science Publishing Modeling 332

Analytics Vidhya

JUNE 17, 2023

Data science for marketing is a discipline that combines statistical analysis, machine learning, and predictive modeling to extract meaningful patterns […] The post How to Use Data Science for Marketing? appeared first on Analytics Vidhya.

Data Science 328

Data Science Marketing Predictive Modeling Statistics 328

Analytics Vidhya

DECEMBER 6, 2023

emerges as a formidable tool in predictive modelling, enhancing machine learning with improved efficiency and accuracy. Introduction AI is experiencing a significant shift with the emergence of LLMs like GPT-4, revolutionizing machine understanding and generation of human language. Alongside, xgboost 2.0

Predictive Modeling 328

Predictive Modeling Machine Learning Modeling Analytics 328

Analytics Vidhya

MARCH 5, 2023

And our goal is to create a predictive model, such as Logistic Regression, etc. so that when we give the characteristics of a candidate, the model can predict whether they will recruit. Introduction In this project, we will be focusing on data from India.

Predictive Modeling 335

Predictive Modeling Strategy Modeling Analytics 335

David Menninger's Analyst Perspectives

SEPTEMBER 16, 2021

It can support AI/ML processes with data preparation, model validation, results visualization and model optimization. Rapidminer Studio is its visual workflow designer for the creation of predictive models.

Data Science 341

Data Science Data Lake Data mining Deep Learning 341

Analytics Vidhya

MAY 26, 2023

Imagine diving into the details of data analysis, predictive modeling, and ML. Envision yourself unraveling the insights and patterns for making informed decisions that shape the future. The concept of Data Science was first used at the start of the 21st century, making it a relatively new area of research and technology.

Data Science 319

Data Science Predictive Modeling Modeling Technology 319

Analytics Vidhya

OCTOBER 12, 2020

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

Machine Learning 306

Machine Learning Metrics Predictive Modeling Data Science 306

Analytics Vidhya

FEBRUARY 25, 2023

Introduction Often while working on predictive modeling, it is a common observation that most of the time model has good accuracy for the training data and lesser accuracy for the test data.

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Predictive Modeling Testing Machine Learning Modeling 313

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

JULY 2, 2023

Everything from data-driven decision-making to scientific discoveries to predictive modeling depends on our potential to disentangle the hidden connections and patterns within complex datasets. Introduction Comprehending and unleashing the intricate affinities among variables in the expansive realm of statistics is integral.

Statistics 302

Statistics Predictive Modeling Data-driven Modeling 302

Analytics Vidhya

FEBRUARY 4, 2022

Introduction In this article, we are going to solve the Loan Approval Prediction Hackathon hosted by Analytics Vidhya. classification refers to a predictive modeling problem where a class label is predicted for a given example of […].

Machine Learning 291

Machine Learning Predictive Modeling Data Processing Modeling 291

Analytics Vidhya

DECEMBER 22, 2022

We have various Machine Learning algorithms to build predictive models. In case you want to revisit the previous ones, tap here. This article will cover all you need to know about boosting algorithms. We choose the boosting algorithms based […]. The post Ultimate Guide To Boosting Algorithms appeared first on Analytics Vidhya.

Predictive Modeling 291

Predictive Modeling Machine Learning Data Science Modeling 291

Analytics Vidhya

JULY 25, 2022

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. Introduction Let’s have a simple overview of what Machine Learning is. Source: [link] For […].

Machine Learning 271

Machine Learning Predictive Modeling Statistics Data Science 271

Dataiku

OCTOBER 26, 2021

Managing one model at a time is pretty easy. But how do you go about managing tens of models, or even more? Vincent Gallmann, Senior Data Scientist at French bank FLOA , answered this question in a 2021 Product Days Session on managing data science projects with Dataiku.

Predictive Modeling 115

Predictive Modeling Modeling Data Science Management 115

Analytics Vidhya

DECEMBER 9, 2020

Introduction While trying to make a better predictive model, we come across. This article was published as a part of the Data Science Blogathon. The post Out-of-Bag (OOB) Score in the Random Forest Algorithm appeared first on Analytics Vidhya.

Predictive Modeling 261

Predictive Modeling Data Science Publishing Modeling 261

Analytics Vidhya

MARCH 20, 2021

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

Predictive Modeling 247

Predictive Modeling Data Science Publishing Modeling 247

KDnuggets

DECEMBER 19, 2024

Whether you aim for building the perfect image classifier, sales predictor, or price estimator, these six pracitcal tips and insights will help you get there!

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Predictive Modeling Data Science Modeling Sales 111