AngularJS Tutorials
Comprehensive guide to AngularJS, covering MVC architecture, data binding, directives, modules, controllers, filters, routing, custom directives, animations, and form validation.
Big Data Analytics
Comprehensive exploration of big data analytics, covering programming, databases, statistics, machine learning, visualization, and cloud computing for practical applications.
Sockets with Python 3
Learn Sockets with Python 3! In this course, you will learn about sending and receiving data, buffering and streaming data, sending and receiving Python objects w/ Pickle, socket chatroom server and client, and creating chat applications with sockets in…
Laravel 6 Tutorial for Beginners
Comprehensive guide to Laravel 6 fundamentals, covering installation, routing, views, databases, authentication, and more for beginners to build web applications efficiently.
Learning To See
In this series, we'll explore the complex landscape of machine learning and artificial intelligence through one example from the field of computer vision: using a decision tree to count the number of fingers in an image. It's gonna be crazy.
Data Analytics with Python
Learn Python-based data analytics, covering statistics, probability, hypothesis testing, regression, ANOVA, clustering, and decision trees. Gain practical skills for data-driven decision making and statistical analysis.
CSS Positioning Tutorials
Master CSS positioning techniques to create dynamic, well-structured web layouts using floats, relative, absolute, and fixed positioning, as well as z-index and content clipping.
Statistics and Machine Learning in R
If you want to do statistics and machine learning in R, this playlist is for you, and you only. No one else is allowed to watch it.
Python 3 Tutorial for Beginners
Hey gang, in this Python 3 tutorial series, I'll walk you from the very basics of Python (how to install, the python shell, data types etc) right through to creating your very own Python programs.
Responsive Web Design Tutorials
Learn essential responsive development skills to create mobile-friendly websites, covering viewports, media queries, fluid layouts, drop-down menus, and responsive images.
Signals and Systems
This course is a study of signals and systems, covering topics: formal definition of 'signal' and 'system', continuous and discrete signals, continuous and discrete-time systems, Linear Time-Invariant (LTI) systems, representation of continuous and discr…
Robotics
This course deals with topics in robotics: technologies in robotics, its parallel and grippers manipulators, sensors, trajectory planning, velocity analysis, image processing, forward position control, and dynamic analysis of robotics.
Cryptography and Network Security
Explore modern cryptography, network security, and cryptanalysis techniques. Learn about symmetric and asymmetric encryption, hash functions, and secure communication protocols.
MongoDB and Mocha
Comprehensive guide to MongoDB and Mocha, covering installation, CRUD operations, database modeling, relations, and testing with practical examples and hands-on exercises.
Fundamentals of Electrical Engineering
This course will also cover Single Phase Transformers, Three Phase Induction Machines and DC Machines. By the end of the course, the students should be able to gather high-quality knowledge of basic Electrical Engineering.
Neural Networks
This playlist has everything you need to know about Neural Networks, from the basics, all the way to image classification with Convolutional Neural Networks.
Django Web Development with Python
Learn to build dynamic web applications using Django framework, covering models, views, templates, user authentication, and deployment.
PSD to WordPress Tutorial
Learn to create a functional WordPress theme from a PSD design, covering template files, custom fields, and more. No prior PHP or WordPress knowledge required.
Support Vector Machines
Explore Support Vector Machines, covering main concepts, polynomial and radial kernels, and practical implementation in Python.
Pattern Recognition and Application
This course covers feature extraction techniques and the representation of patterns in feature space. Measure of similarity between two patterns. Statistical, nonparametric and neural network techniques for pattern recognition have been discussed in this…
Machine Learning for Forex and Stock Analysis and Algorithmic Trading
Learn machine learning techniques for pattern recognition in forex and stock trading, focusing on data analysis, algorithmic strategies, and automated prediction models.