What is Regression Analysis with Example? | Model Evaluation & Selection | Regularization Techniques

Regression Analysis is a powerful statistical method that helps us understand and quantify the relationship between one or more independent variables (predictors) and a dependent variable (outcome). It is widely used across various industries to make predictions, identify trends, and uncover hidden patterns.

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Agenda:
Regression Analysis
Simple Linear Regression
Model Evaluation and Selection
Multiple Linear Regression
Regularization Techniques: Ridge and Lasso
Model Evaluation Metrics: R-squared, MSE, MAE

Watch now: https://www.youtube.com/watch?v=EZOBwVSRDZc&t=2s

#DataScience #RegressionAnalysis #DataDriven #Analytics #DecisionMaking #BusinessInsights #MachineLearning #AI #Statistics #statistics #infosectrain #learntorise
What is Regression Analysis with Example? | Model Evaluation & Selection | Regularization Techniques Regression Analysis is a powerful statistical method that helps us understand and quantify the relationship between one or more independent variables (predictors) and a dependent variable (outcome). It is widely used across various industries to make predictions, identify trends, and uncover hidden patterns. Thank you for watching this video, For more details or a free demo with our expert, write to us at [email protected] ➡️Agenda: 👉 Regression Analysis 👉 Simple Linear Regression 👉 Model Evaluation and Selection 👉 Multiple Linear Regression 👉 Regularization Techniques: Ridge and Lasso 👉 Model Evaluation Metrics: R-squared, MSE, MAE Watch now: https://www.youtube.com/watch?v=EZOBwVSRDZc&t=2s #DataScience #RegressionAnalysis #DataDriven #Analytics #DecisionMaking #BusinessInsights #MachineLearning #AI #Statistics #statistics #infosectrain #learntorise
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