In this 16-hour workshop, we'll cover the fundamentals of data science, machine learning and artificial intelligence (AI). Learn how to use data to make better business decisions and how to implement data science in your organization.

The course begins with a detailed examination of vector mathematics that sits at the very heart of programming the movement of NPCs. Following this, systems of waypoints will be used to move characters around in an environment before examining the Unity waypoint system for car racing with AI controlled cars. This leads into an investigation of graph theory and the A* algorithm before we apply these principles to developing navmeshes and developing NPCs who can find their way around a game environment. Before an aquarium is programmed complete with autonomous schooling fish, crowds of people will be examined from the recreation of sidewalk traffic, to groups of people fleeing from danger. Having examined the differing ways to move NPCs around in a game environment, their thinking abilities will be discussed with full explanations and more hands-on workshops using finite state machines and behaviour trees.

Create your first programs easily in the latest version of Python. The Python course covers everything you need to know as a beginner in Python and in programming itself to successfully write your first programs and codes. The focus is on practice so that you can primarily use the functions of Python in real life to solve your problems and write your own code, in addition to theoretical lections. We'll focus on all the important elements, functions, and operators that a beginner should know in order to code successfully in Python. We also look at the foundations for further programming in areas such as machine learning, data science, and Django.

Welcome to (what I think is) the web's best course on Pandas, Matplotlib, Seaborn, and more! This course will level up your data skills to help you grow your career in Data Science, Machine Learning, Finance, Web Development, or any tech-adjacent field. This is a tightly structured course that covers a ton, but it's all broken down into human-sized pieces rather than an overwhelming reference manual that throws everything at you at once. After each and every new topic, you'll have the chance to practice what you're learning and challenge yourself with exercises and projects. We work with dozens of fun and real-world datasets including Amazon bestsellers, Rivian stock prices, Presidential Tweets, Bitcoin historic data, and UFO sightings.

Equip yourself with essential programming techniques required for ACM-ICPC, Google CodeJam, Kickstart, Facebook HackerCup & more. Welcome to Competitive Programming Essentials – the ultimate specialisation on Algorithms for Competitive Coders! The online Competitive Programming Essentials by Coding Minutes is a highly exhaustive & rigorous course on Competitive Programming. The 50 hours course covers the breadth & depth of algorithmic programming starting from a recap of common data structures, and diving deep into essential and advanced algorithms. The course structure is well-researched by instructors who not only Competitive Coders but have worked with companies like Google & Scaler.

Welcome to the Complete Data Science and Machine Learning Bootcamp, the only course you need to learn Python and get into data science. At over 40 hours, this Python course is without a doubt the most comprehensive data science and machine learning course available online. Even if you have zero programming experience, this course will take you from beginner to mastery.

This course is giving you the chance to systematically master the core concepts in statistics & probability, descriptive statistics, hypothesis testing, regression analysis, analysis of variance and some advance regression / machine learning methods such as logistics regressions, polynomial regressions, decision trees and more. In real-life examples you will learn the stats knowledge needed in a data scientist's or data analyst's career very quickly.

Added: Introduction to Machine Learning with Pandas and scikit-learn – incl. This is the first course that covers Pandas 1.x. It gives optimal guidance on how to transition from version 0.x to version 1.x! Welcome to the web s most comprehensive Pandas Bootcamp with 34 hours of video content, 150 exercises, and two large and comprehensive Final Projects that test your skills! This course has one goal: Bringing your data handling skills to the next level to build your career in Data Science, Machine Learning, Finance & co.

PyTorch has rapidly become one of the most transformative frameworks in the field of Deep Learning. Since its release, PyTorch has completely changed the landscape in the field of deep learning due to its flexibility, and how easy it is to use when building Deep Learning models. Deep Learning jobs command some of the highest salaries in the development world. This course is meant to take you from the complete basics, to building state-of-the art Deep Learning and Computer Vision applications with PyTorch. With over 44000 students, Rayan is a highly rated and experienced instructor who has followed a "learn by doing" style to create this amazing course.

Data Science, Machine Learning and Artificial Intelligence are the most demanding skills in today's world, Almost every Multi-National company is working on these new technologies With this course you will learn all the required tools from the very beginning!