Analytics Vidhya

AUGUST 28, 2021

The post ML-trained Predictive model with a Django API appeared first on Analytics Vidhya. When ML algorithms offer information before it is known, the benefits for business are significant. Integrating machine learning algorithms for inference into production systems is a technological barrier. The ML algorithms, on […].

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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.

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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.

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Analytics Vidhya

JANUARY 12, 2021

Specific to Predictive Models). ArticleVideos This article was published as a part of the Data Science Blogathon. Hello, There Data science has been a vastly growing and improving. The post 5 Important things to Keep in Mind during Data Preprocessing! appeared first on Analytics Vidhya.

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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.

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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.

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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 […].

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Domino Data Lab

OCTOBER 29, 2021

When you hear words like machine learning (ML) or artificial intelligence (AI), one of the first things that comes to mind is correctly predicting future occurrences or answering difficult questions about the present based on past events. At its core, this is what predictive modeling is all about.

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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.

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Smarten

JANUARY 3, 2020

Assisted Predictive Modeling Delivers Predictive Analytics to Business Users! When we use terms like ‘predictive analytics’, it sometimes puts off the general business population. While predictive analytics techniques and predictive modeling does include complicated algorithms.

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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?

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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.

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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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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 […].

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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.

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Smarten

JULY 9, 2018

Create Citizen Data Scientists with Assisted Predictive Modeling! You need Assisted Predictive Modeling (Plug n’ Play Predictive Analysis with auto-suggestions and recommendations). The Plug and Play Predictive Analytics and predictive modeling platform is suitable for business users.

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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 […].

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Smarten

DECEMBER 4, 2017

What is Assisted Predictive Modeling? Assisted Predictive Modeling is a great way to provide support for your users and your organization. Yes, plug n’ play predictive analysis must truly be plug and play! Predictive analysis does not have to be tortuous or confusing.

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Teradata

OCTOBER 3, 2019

Predict the future faster with predictive modeling. Learn more about use cases and how to get more value out of your data.

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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.

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Smarten

JANUARY 15, 2019

How Can I Leverage Assisted Predictive Modeling to Benefit My Business? Some people hear the term ‘assisted predictive modeling’ and their eyes cross. Explore Assisted Predictive Modeling and find out how it can benefit your organization. Nothing could be further from the truth.

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KDnuggets

JANUARY 5, 2022

3 Tools to Track and Visualize the Execution of Your Python Code; 6 Predictive Models Every Beginner Data Scientist Should Master; What Makes Python An Ideal Programming Language For Startups; Alternative Feature Selection Methods in Machine Learning; Explainable Forecasting and Nowcasting with State-of-the-art Deep Neural Networks and Dynamic Factor (..)

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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, […].

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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.

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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.

Data Science 360

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Smarten

MARCH 31, 2019

Predictive Analytics Techniques That Are Easy Enough for Business Users! There are a myriad of predictive analytics techniques and predictive modeling algorithms and you can’t expect your business users to understand and use them.

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Smarten

SEPTEMBER 14, 2018

Just Simple, Assisted Predictive Modeling for Every Business User! You can’t get a business loan, join with a business partner, successfully bid on a project, open a new location, hire the right employees or plan for the future without predictive analytics. No Guesswork!

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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.

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Smarten

NOVEMBER 6, 2018

This video demonstrated Self-Service Data Preparation and Assisted predictive modeling using practical data which combines data from within the organisation and data from external sources to make effective prediction and analysis. This video focuses on consumer products used in the building industry.

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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 […].

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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.

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Smarten

NOVEMBER 5, 2018

This video has a presentation on how one can use data from multiple systems across the organisation along with data from external sources to run predictive analytics using Assisted Predictive Modeling. The video has a complete presentation which is followed by a demonstration. Each of these videos is available independently.

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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 264

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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

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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.

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Smarten

MARCH 13, 2018

That may seem like a tall order but with the right business intelligence software, you can provide predictive analytics for business users, including assisted predictive modeling that walks users through the analytical process and allows them to achieve the best results without a sophisticated knowledge of data analytical techniques.

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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.

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