What Is Machine Learning? An Introduction
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.
Every course from every provider we track, with the same filters over all of them: level, length, price, certificate and who stands behind it.
194 courses for “Dummy Variables and One Hot Encoding”
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, 6 minutes
A short illustrated introduction to what artificial intelligence is and how it differs from ordinary software, drawn rather than presented from slides.
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1 lesson, 6 minutes
A five-minute explainer: what artificial intelligence means, the kinds of problem it is used on, and where the term is stretched further than it should be.
1 lesson, about 12 hours
Twelve hours for people starting from nothing: the vocabulary, the mathematics that cannot be skipped, machine learning and deep learning, and worked examples throughout.
1 lesson, about 5 hours
Five hours covering artificial intelligence end to end: what it is, how machine learning and deep learning sit inside it, the algorithms in common use, and where the field is applied.
1 lesson, about 11 hours
Eleven hours covering cloud fundamentals and the work that follows them: architecture, the main providers, deployment and the operational side of running services in the cloud.
1 lesson, about 6 hours
Six hours on Microsoft Azure for people new to it: the portal, virtual machines, storage, networking and identity, worked through with practical examples.
1 lesson, about 10 hours
Eleven hours on cloud computing from first principles: what the cloud is, how the service models differ, and the tooling a practitioner meets first. Taught in Hindi.
1 lesson, about 47 hours
A forty-seven hour compilation covering cloud computing end to end: service and deployment models, the major providers, virtualisation, storage, networking and the certifications a cloud career runs through.
1 lesson, about 1.5 hours
A single ninety-minute session taking Figma from an empty file to a working interface: frames, components, auto layout and prototyping, aimed at somebody who has never opened it.
8 lessons, about 2 hours
Eight classes taking Python from variables and loops to the libraries used in security work — Scapy, Nmap — and finishing with a Python assistant built from scratch. Taught in Hindi.
1 lesson, about 12 hours
Twelve hours of hands-on ethical hacking with lab work rather than slides, taught in Hindi. This is part one of the series.
1 lesson, about 47 hours
A forty-seven hour compilation covering the whole subject: fundamentals, ethical hacking, network and cloud security, and the certifications a career in it runs through.
1 lesson, about 9 hours
An eight-hour beginner course covering the vocabulary, the common attacks and the defensive tooling, worked through with practical examples.
1 lesson, about 7 hours
A seven-hour run through cyber security from first principles to advanced material: threats and attack types, cryptography, network defence and the tooling a practitioner uses.
1 lesson, 6 minutes
A short orientation: what cyber security covers, what a security analyst actually does, and the skills worth learning first. Taught in Hindi.
11 lessons across 4 modules
A paid certification in growth hacking: funnels, engagement points, data capture and distribution, growth modelling, and the mindset behind them. Eleven lessons, each with an exercise and a quiz, ending in the Certified Growth Hacker certification.
1 lesson, about 5 hours
A single five-hour session introducing ethical hacking for beginners: the tools, the terminology and the practice, taught in Hindi. This is part one of the series.
48 lessons, about 3 hours
48 sessions on growth hacking, about 3 hours in total, published on YouTube by Rish from Mapplinks. Watched here, lesson by lesson.
1 lesson, 1 hour 26 minutes
Alex Hormozi condenses thirteen years of running and buying businesses into one session on getting customers: offers, channels, and what he would tell himself at the start.