Forty-five minutes of scikit-learn, from fitting a model to scoring it.
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8 lessons, about 2 hours
Eight classes taking Python from variables and loops to the libraries used in security work — Scapy, Nmap — and finishing with a Python assistant built from scratch. Taught in Hindi.
1 lesson, 8 minutes
An eight-minute introduction to machine learning: how a model learns from data, the difference between supervised and unsupervised learning, and where each is used.
1 lesson, about 12 hours
A single session on data science, about 12 hours, published on YouTube by freeCodeCamp.org. Watched here on the course page.
1 lesson, about 16 hours
A single session on blockchain & cryptocurrency, about 16 hours, published on YouTube by freeCodeCamp.org. Watched here on the course page.
1 lesson, about 1 hour
A single session, about 1 hour, published on YouTube by Onur Baltaci. Watched here on the course page.
1 lesson, about 1 hour
A single session, about 1 hour, published on YouTube by Code with Josh. Watched here on the course page.
13 minutes
Thirteen minutes on how a model is judged, and why accuracy alone is rarely the answer.
32 minutes
A university lecture on evaluating a model: the measures, and what each one hides.
55 minutes
Confusion matrices, precision, recall and ROC curves, worked through in scikit-learn.
