2021 Python for Advanced Linear Regression Masterclass Free Download. Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal
2021 Python for Advanced Linear Regression Masterclass Description
Contents
Requirements
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Basic Python Programming
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Desire to Learn!
What you’ll learn
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Analyse and visualize data using Linear Regression
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Plot the graph of results of Linear Regression to visually analyze the results
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Learn how to interpret and explain machine learning models
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Do in-depth analysis of various forms of Linear and Non-Linear Regression
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Use YellowBrick, SHAP, and LIME to interact with predictions of machine learning models
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Do feature selection and transformations to fine tune machine learning models
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Course contains result oriented algorithms and data explorations techniques
Who this course is for:
- Beginners python programmers.
- Beginners Data Science programmers.
- Students of Data Science and Machine Learning.
- Anyone interested in learning Linear Regression and Feature Selection
- Anyone interested about the rapidly expanding world of data science!
- Developers who want to work in analytics and visualization project.
- Anyone who wants to explore and understand data before applying machine learning.
