Regression
Artificial Intelligence
Mastering Logistic Regression Background: Binary Classification Problems The Logistic Regression Model Log Loss Gradient Descent Implementation in Python The LogisticRegression Class in Scikit-Learn Summary
The next plot shows the log loss when y = 1:The log loss equals to 0 only in case of an ideal prediction (p = 1 and y = 1, or p = 0...
Artificial Intelligence
The Matrix Algebra of Linear Regression
Looking under the hood on the matrix operations behind linear regression11 min read·12 hours agoFitted ValuesWe've got now used some linear algebra to seek out the best-fitting parameters for a straightforward linear regression model....
Artificial Intelligence
A Comprehensive Overview of Regression Evaluation Metrics
Principally, all metrics exploded in size, which is intuitively consistent. That will not be the case for sMAPE, which stayed the identical between each cases.I highly encourage you to mess around with such toy...
Artificial Intelligence
Linear Regression In Depth (Part 2) Multiple Linear Regression Definition Closed-Form Solution Multiple Linear Regression Example Linear Regression in Scikit-Learn Analyzing the Regression Errors Gradient Descent The SGDRegressor Class Key Takeaways
Deep Dive into Multiple Linear Regression with Examples in PythonLet’s reduce the training rate from 0.01 to 0.001 by changing the parameter eta0 of the SGDRegressor:pipeline.set_params(reg__eta0=0.001)Let’s refit the pipeline to the training set and...
Artificial Intelligence
Linear Regression to GPT in Seven Steps Step 1: Prediction by Linear Regression Step 2: Prediction by Neural Networks Step 3: Prediction on a word Step 4: Prediction...
How the common-or-garden prediction method shows us the method to Generative AIThere are many writings about Generative AI. There are essays dedicated to its applications, ethical and moral issues, and its risk to human...
Artificial Intelligence
Mastering Linear Regression: The Definitive Guide For Aspiring Data Scientists What can we mean by “regression evaluation”? Understanding correlation The difference between correlation and regression The Linear Regression...
All it's worthwhile to find out about Linear Regression is here (including an application in Python)Whatever the undeniable fact that we’ve obtained an R² of 0.73 on the test set which is nice (but...
Artificial Intelligence
Mastering Linear Regression: The Definitive Guide For Aspiring Data Scientists What can we mean by “regression evaluation”? Understanding correlation The difference between correlation and regression The Linear Regression...
All you should learn about Linear Regression is here (including an application in Python)Whatever the incontrovertible fact that we’ve obtained an R² of 0.73 on the test set which is sweet (but remember: the...
Artificial Intelligence
Linear Regression: Understanding the Basics Kinds of Linear Regression. Assumptions of Linear Regression. Mathematical Intuition Linear Regression using Sklearn Conclusion
Linear Regression is a statistical technique used to model the connection between a dependent variable and a number of independent variables. It's widely utilized in various fields comparable to finance, economics, social sciences, and...
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