How to Fix Misleading Google Trends Data

Google trends is an amazing source of data… but it comes with challenges. Normalisation and restricted data granularity are two of the key ones. In this video we look at practical workarounds to make Google Trends data usable for Machine Learning. #googletrends #datascience #machinelearning --- Welcome to Evil Works. We’re your friendly neighbourhood data overlords.   We make educational videos about data science, AI, and how the machines will (probably) replace us all. Enjoy the ride. New videos every Wednesday.   Subscribe before the algorithms notice: https://www.youtube.com/@EvilwrksWant to see the videos early and get extra bonuses? Sign up to our patreon: https://patreon.com/EvilWorks --- Stay in our data loop:   Instagram (for the perfectly filtered data points)  → https://instagram.com/evilwrks TikTok (questionable decisions, great content) → https://tiktok.com/@evil.works LinkedIn (for the serious stuff) → https://www.linkedin.com/company/evil-works Patreon (for the evil fans) → https://patreon.com/EvilWorks   --- More brain fuel:   - Does ChatGPT make you Stupider? → https://youtu.be/9_Ekk3jQJqs - My hardest Pokemon battle was with the data → https://youtu.be/kbn0cqBBzBE  - What actually is AI → [video link] --- Contact the mothership:   Business inquiries → [email protected]   We don’t bite. The AI might. --- Legal-ish:    This content is for educational purposes only and should not be considered professional advice. Unless your profession is “YouTube comment troll,” in which case: carry on. ---