Embark on a comprehensive 7.5-hour journey through machine learning and artificial intelligence in Python. Explore four distinct areas: fundamental ML algorithms, neural networks, AI chatbots, and game-playing AI. Begin with machine learning basics, covering linear regression, K-nearest neighbors, support vector machines, and K-means clustering. Dive into neural networks, learning about model creation, text classification, and model management. Develop an AI chatbot from scratch, understanding its core components. Finally, create an AI capable of playing Flappy Bird using neuroevolutionary algorithms. Gain hands-on experience with practical implementations, data analysis, and visualization techniques throughout the course.