A lesson per technique rather than one long session.
Missing values, categorical encodings, outliers, transformations and scaling — each taken on its own, with the reasoning for when it is the right move and when it is not.
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3 hours
Exploratory Data Analysis (EDA)
Three hours on looking at a dataset properly before modelling it, and on the features built from what you find.
1 hour
Exploratory Data Analysis (EDA)
A live session working one real dataset end to end, from first look to engineered features.
1 lesson, about 2 hours
A single session on devops, about 2 hours, published on YouTube by freeCodeCamp.org. Watched here on the course page.
300 hours
A 300-hour generative AI course from Noble Desktop, taught live in New York or online.
3 hours
40 lessons, 159 minutes in all.
16 hours
83 lessons, 950 minutes in all.
1 hour
Exploratory Data Analysis (EDA)
A live session working one real dataset end to end, from first look to engineered features.
