Every course from every provider we track, with the same filters over all of them: level, length, price, certificate and who stands behind it.
369 courses for “Python SEABORN Tutorial [HINDI] | Learn Seaborn in 3 Hours - Complete Course”
5 hours
20 lessons, 280 minutes in all, from Refrigeration and HVAC technical fault.
1 minutes
A 1-minute video from Ansys Learning.
New courses, a couple of emails a month. One click unsubscribes.
5 minutes
A 5-minute video from EMBEDDED SYSTEMS DIARY.
6 minutes
A 6-minute video from NPTEL-NOC IITM.
15 minutes
A 15-minute video from Mentored Engineer.
41 minutes
A 41-minute video from Technocraft Academy.
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.
3 hours
Nearly three hours on time series: the components, the models, and the forecasts built from them.
2 hours
An hour and a half of forecasting in Python, for somebody who has not done it before.
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.
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.
