Supervised Learning in Machine Learning > Regression Algoritms

Regressor Model Selection

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A set of exploratory techniques for enhancing regression models is referred to as model selection criteria. Each model selection technique entails selecting a subset of available predictor variables that nonetheless adequately account for the variation in the regression model's observed variation.

To describe the relationships between a group of independent factors and the dependent variable, use regression analysis. Regression analysis yields a regression equation, the coefficients of which show the connection between each independent variable and the dependent variable.

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MADHAV KUMAR
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i could not download .pls share link

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Priya Singh
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good

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Rohit Khare
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What will be the mandatory requirement of configuration of PC for this ML tool

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Muhammad Fahad Bashir
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Explained the concept easily

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Pradeep Kumar Kaushik
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Please give me iris,csv file.

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Ankit Malik
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where is the finaldata.csv

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Vimal Bhatt
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great learning plateform kushal sir is really too good

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Prabhat Yadav
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Superb course content and easy to understand.

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fahad ameer
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  8. Splitting Dataset - Practical
    9m 36s
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  11. Finding Machine Learning Datasets
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  17. Assignment of Data Preprocessing for Machine Learning
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  10. Support Vector Machine Classifier
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  11. Support Vector Machine Classifier - Practical 1
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  7. Decision Tree Regressor - Practical
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  8. Regressor Model Selection
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  9. Evaluating Regression Model Performance
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  10. Evaluating Regression Model Performance - Practical
    11m 34s
  11. Assignment of Regression Algoritms
    1m 12s

  1. Advance Trends in Machine Learning
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  1. Course Summary
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  1. Interview Questions Part 1
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  1. Career Guidelines
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