Python for Linear Regression in Machine Learning - Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal
I found a course on Udemy called “2023 Python for Linear Regression in Machine Learning” 1. The course teaches how to do in-depth analysis of various forms of Linear and Non-Linear Regression. It also covers techniques for building and evaluating machine learning models, such as feature selection, feature engineering, and model evaluation techniques
What you'll learn
- Analyse and visualize data using Linear Regression
- Plot the graph of results of Linear Regression to visually analyze the results
- Learn how to interpret and explain machine learning models
- Do in-depth analysis of various forms of Linear and Non-Linear Regression
- Use YellowBrick, SHAP, and LIME to interact with predictions of machine learning models
- Do feature selection and transformations to fine tune machine learning models
- Course contains result oriented algorithms and data explorations techniques
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