Dive into an extensive 8-hour tutorial series on machine learning with Python and Scikit-learn, focusing on applications in investing. Learn to implement various algorithms including Support Vector Machines (SVM), Linear SVC, and unsupervised learning techniques like K-Means and Mean Shift clustering. Progress through 26 detailed lessons covering fundamental concepts to advanced applications, gaining hands-on experience in using Scikit-learn for financial analysis and investment strategies. Explore both supervised and unsupervised learning methods, and discover how to leverage these powerful tools to make data-driven investment decisions.