Total number of parameters, output shape in the Convolution layer Photo by Yan Krukov from Pexels In this article, we will go through two important concepts
Category: Machine Learning
Everything to Know About Residuals in Linear Regression
Assumptions of linear regression, residuals, Q-Q plot Photo by alleksana from Pexels Residual Analysis in Linear Regression Assumptions in Linear regression are about residuals. Let’s learn about
The Beginners Guide to Machine Learning Algorithms
Link to my ML blogs Photo by Daria Shevtsova from Pexels In this article, I have updated links to all my blogs in machine learning. Statistics Exploring
Bagging Decision Trees — Clearly Explained
Ensemble Technique- Bagging Photo by Pixabay from Pexels Decision Trees Decision trees are supervised machine learning algorithm that is used for both classification and regression tasks.
Bias vs Variance Trade-off — Clearly Explained
Bias vs Variance, Overfitting vs Underfitting Photo by Gabby K from Pexels Why we need a bias-variance tradeoff In machine learning, we collect data and build
The Concepts Behind Logistic Regression
Sigmoid function, Log Loss, Odds Ratio, Model coefficient, Metrics Photo by Mikael Blomkvist from Pexels Logistic Regression Logistic Regression is one of the supervised machine learning
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