feat: business insights using sklearn

[saidsef]

• feat: business insights using sklearn

[Copilot]

Pull Request Overview

This PR introduces a comprehensive guide on extracting business insights from website logs using scikit-learn.

• Adds a step-by-step walkthrough covering data collection, preprocessing, feature engineering, model evaluation, and deployment using Flask.
• Provides code examples to demonstrate the application of a decision tree classifier in a practical setting.

Comments suppressed due to low confidence (1)

docs/sklearn-ml-extract-business-insights-from-logs.md:14

• [nitpick] Consider revising the markdown formatting on this line as the excessive asterisks may render incorrectly; using a consistent emphasis style would improve readability.

4. **Access to Website Logs:** You should have access to website log data, similar to the format shared in the example provided. ****I use [Pino](https://www.npmjs.com/package/pino) that formats the output in json****.

[Copilot]

Pull Request Overview

This PR adds a detailed guide on using scikit-learn to extract business insights from website logs.

• Introduces step-by-step instructions, including data collection, preprocessing, feature engineering, model training, and Flask-based deployment.
• Provides code snippets that illustrate the entire ML pipeline using Python libraries.

[Copilot]

Pull Request Overview

This PR introduces a practical guide on extracting business insights from website logs using scikit-learn.

• Adds a comprehensive markdown guide including data collection, preprocessing, feature engineering, model training, evaluation, and deployment with Flask API support.
• Provides step-by-step code snippets that walk through using a decision tree classifier for predicting user conversion.