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Building an end-to-end Polynomial Regression Model in R

Analytics Vidhya

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 397
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How to Create an ARIMA Model for Time Series Forecasting in Python

Analytics Vidhya

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.

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Q-Q plot – Ensure Your ML Model is Based on the Right Distribution

Analytics Vidhya

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 356
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Machine Learning Paradigms with Example

Analytics Vidhya

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 […].

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Creating Linear Model, It’s Equation and Visualization for Analysis

Analytics Vidhya

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.

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4 Ways to Evaluate your Machine Learning Model: Cross-Validation Techniques (with Python code)

Analytics Vidhya

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.

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How the Masters uses watsonx to manage its AI lifecycle

IBM Big Data Hub

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. ” Watsonx.data uses machine learning (ML) applications to simulate data that represents ball positioning projections. ” Watsonx.ai