Model Evaluation — IIT Madras Lecture
32 minutes
A university lecture on evaluating a model: the measures, and what each one hides.
Thirteen minutes on how a model is judged, and why accuracy alone is rarely the answer.
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32 minutes
A university lecture on evaluating a model: the measures, and what each one hides.
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, 14 minutes
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1 lesson, 6 minutes
A single session on blockchain & cryptocurrency, 6 minutes, published on YouTube by Simply Explained. Watched here on the course page.
24 hours
Forty-four lessons covering the statistics behind machine learning, from sampling to hypothesis testing and interview questions.
10 hours
Generative AI for Data Science
Nine and a half hours explaining generative AI for somebody starting from nothing.
32 minutes
A university lecture on evaluating a model: the measures, and what each one hides.
45 minutes
Forty-five minutes of scikit-learn, from fitting a model to scoring it.
55 minutes
Confusion matrices, precision, recall and ROC curves, worked through in scikit-learn.