From f0cf3bbe0777c20c3d7b4b91618620b1e98910c9 Mon Sep 17 00:00:00 2001 From: Arthur Danjou Date: Tue, 26 Nov 2024 14:13:52 +0100 Subject: [PATCH] 1 change by Nuxt Studio --- content/portfolio/what-is-machine-learning.md | 11 ++++------- 1 file changed, 4 insertions(+), 7 deletions(-) diff --git a/content/portfolio/what-is-machine-learning.md b/content/portfolio/what-is-machine-learning.md index 18fd953..4aae8f1 100644 --- a/content/portfolio/what-is-machine-learning.md +++ b/content/portfolio/what-is-machine-learning.md @@ -9,7 +9,7 @@ tags: - ML --- -# What Is Machine Learning ? +# What Is Machine Learning? ## Introduction @@ -68,12 +68,9 @@ Once the model type is defined, the next step is to delve into the full workflow A machine learning project generally follows these steps: -1. **Data Preparation*** Splitting data into training and testing sets. - * Preprocessing: scaling, handling missing values, etc. -2. **Model Training*** Fitting the model on training data: `model.fit(X, y)`. - * Optimising parameters and hyperparameters. -3. **Prediction and Evaluation*** Making predictions on unseen data: `model.predict(X)`. - * Comparing predictions ($$\hat{y}$$) with actual values ($$y$$). +1. **Data Preparation**\* Splitting data into training and testing sets.* Preprocessing: scaling, handling missing values, etc. +2. **Model Training**\* Fitting the model on training data: `model.fit(X, y)`.* Optimising parameters and hyperparameters. +3. **Prediction and Evaluation**\* Making predictions on unseen data: `model.predict(X)`.* Comparing predictions ($$\hat{y}$$) with actual values ($$y$$). ![Modelization in Prog.png](/portfolio/ML/model.png)