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This article is written by Aicha Lahnouki as a Lifelong Learner & Educator.

I want to mention that I am still a beginner and learner in this field. This roadmap for learning is my personal guide; it may not be applicable to everyone, but it has been helpful for me. You don’t need to be a master of Python—just a basic understanding of Python, knowledge of algorithms (like if-else statements), and some familiarity with data analysis are sufficient to get started.

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This my own roadmap from data concepts to NLP models

Ressources for each step

1. Data Pipeline

• Exploring PANDAS library : https://www.w3schools.com/python/pandas/pandas_intro.asp
• Building house prediction model following this tutorial : https://www.youtube.com/watch?v=_drqJ9SFCgU&list=PLeo1K3hjS3uu7clOTtwsp94PcHbzqpAdg&index=6

2. Exploring Machine Learning’s Models

• Exploring SICKIT-LEARN : https://www.tutorialspoint.com/scikit_learn/scikit_learn_introduction.htm
• Prediction Practice : https://github.com/LahnoukiAicha/PredictionPractice.git
• Classification Practice : https://github.com/LahnoukiAicha/ClassificationPractice.git

3. NLP

• English NLP Playlist : https://www.youtube.com/playlist?list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO
• Arabic NLP Playlist : https://www.youtube.com/watch?v=GhvH6TyyP_E&list=PLyhJeMedQd9Sra0zQp655r7yssu468fie