Everyone can Data! - A Practical Data Science Intro

on YouTube ↗40m

" summary

Shows concrete projects and outcomes: builds an Ender’s Game word2vec embedding over a weekend and demonstrates it returns analogies; composes an automatic music video in a 40‑hour hackathon that wins second place by using youtube-dl, pySceneDetect and librosa onset fingerprints with greedy matching; lists practical tool recommendations — TensorFlow/Keras/PyTorch, scikit‑learn and pandas — and points to Kaggle competitions (Titanic) and a beer‑recipes dataset so the methods, runtimes and results are clear.

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" chapters (6)

1. 0:00Data science intro & journey
2. 7:41Machine learning core concepts
3. 17:22NLP projects exploration
4. 24:47Computer vision tools & apps
5. 32:03Predictive analytics & competitions
6. 38:58Music hackathon & closing

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