One dataset, start to finish, live.
Rather than teaching the steps separately, this works the Zomato dataset through all of them — reading it, finding what is wrong with it, deciding what each column is worth, and building the features a model would use.
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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.
13 hours
Sixteen lessons on turning raw columns into the features a model can use.
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.
1 lesson, about 3 hours
A single session, about 3 hours, published on YouTube by Coding With Sagar. Watched here on the course page.
2 hours
Exploratory Data Analysis (EDA)
Two and a quarter hours of exploratory data analysis in Python, taught in Hindi.
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.
2 hours
Exploratory Data Analysis (EDA)
Two and a quarter hours of exploratory data analysis in Python, taught in Hindi.
13 hours
Sixteen lessons on turning raw columns into the features a model can use.
