Every course from every provider we track, with the same filters over all of them: level, length, price, certificate and who stands behind it.
368 courses for “Deep Learning Full Course — Learn Deep Learning in 10 Hours”
3 minutes
A 3-minute video from The Learning Studio.
41 minutes
A 41-minute video from Technocraft Academy.
New courses, a couple of emails a month. One click unsubscribes.
53 hours
29 lessons, 3164 minutes in all.
18 minutes
Continuous integration applied to machine learning, in under twenty minutes.
5 hours
Five hours on MLOps: getting a model out of a notebook and keeping it running.
12 hours
Twelve hours of Python, taught by building rather than by explaining.
12 hours
Twelve hours of Python for beginners, taken slowly enough to follow along.
4 hours
Four and a half hours of Python from nothing, the course most people start with.
55 minutes
Confusion matrices, precision, recall and ROC curves, worked through in scikit-learn.
45 minutes
Forty-five minutes of scikit-learn, from fitting a model to scoring it.
13 minutes
Thirteen minutes on how a model is judged, and why accuracy alone is rarely the answer.
3 hours
Nearly three hours on time series: the components, the models, and the forecasts built from them.
2 hours
Two and a half hours on decision trees — how one is built, and how it is read.
4 hours
Three and a half hours on clustering: k-means, hierarchical methods, and choosing between them.
10 hours
Ten hours of data mining: the techniques, the algorithms and what each is for.
13 minutes
What machine learning is, explained without the mathematics, in thirteen minutes.
12 minutes
Natural Language Processing (NLP)
Twelve minutes on what natural language processing is and how it came to work.
12 hours
Eleven hours of statistics and probability for data science, from first principles.
19 hours
Nineteen hours across SQL, Tableau, Power BI, Python, Excel and pandas — the analyst toolset in one course.
5 hours
Five hours on analysing data in Python, from loading a file to a finished chart.
