Idriss JairiThe importance of feature scaling in machine learning: Logistic regression for exampleFeature scaling is a crucial preprocessing step in machine learning, ensuring that numerical features contribute equally to model training…May 13May 13
Idriss JairiWhat is hyperparameter optimization or tuning? Hyperparameters vs Model’s parametersThe figure below presents a neural network architecture, but how do we know that the chosen number of hidden layers and hidden neurons is…Jul 16, 2023Jul 16, 2023
Idriss JairiOrdinary Least Squares and Normal Equations to Estimate Linear Regression Coefficients/ParametersIn linear regression problems, there are two main approaches for estimating parameters (coefficients).Dec 19, 2021Dec 19, 2021
Idriss JairiGini Gain vs Gini Impurity | Decision Tree — A Simple ExplanationGini Impurity, like Information Gain and Entropy, is just a metric used by Decision Tree Algorithms to measure the quality of a split.Dec 19, 20211Dec 19, 20211
Idriss JairiA Simple Explanation of Entropy and Information Gain | Decision Tree Classification | Machine…What Entropy and Information Gain are? and how they are used to decide which attribute should be selected as the decision node?Dec 19, 20211Dec 19, 20211
Idriss JairiLogistic Regression Coefficients Estimation using Gradient Descent Algorithm in PythonIn this article, I am going to implement the Gradient Descent Algorithm for Logistic Regression from scratch in Python.Oct 6, 2021Oct 6, 2021
Idriss JairiIris Flower Classification and Decision Boundary Plotting using Logistic RegressionIn this new article, I am going to explain how to solve a classification problem using the scikit-learn library and the logistic regression…Sep 4, 2021Sep 4, 2021