Machine Learning for Beginners: Predict Property Prices with Python
🎁 This is a free preview. Get the full course hereYou've seen machine learning mentioned everywhere, in job listings, on LinkedIn, in every data science conversation. But most courses teach it on fake data that looks nothing like what you will actually work with on the job.This course is different.You will learn machine learning by working through a real scenario: a property management company in Nairobi has hired you to build a model that predicts rental prices for their listings. The data is real, scraped from the Nairobi rental market. The mess is real too, missing values, mixed price formats, inconsistent entries. Just like the real world.By the end of this course you will have: Built your first machine learning model from scratch Learned how to explore and clean a real dataset Understood how to validate your model properly Learned why models fail and how to fix them Built a Random Forest model that outperforms a basic decision tree Submitted predictions to a live private competition Each topic has a hands-on exercise notebook using real Nairobi rental data so you practice immediately after learning.No prior machine learning experience needed. Basic Python knowledge is enough to get started. Everything runs offline on your own machine with no subscriptions, no cloud setup, and no hidden costs.The competition included with this course lets you benchmark your model against other learners on the same Nairobi dataset. Knowledge is the prize.This is not a course about theory. It is about doing the work.
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