Dive into a comprehensive 7-hour workshop series on Machine Learning in Bioinformatics. Explore fundamental concepts and practical applications through lectures and hands-on labs. Begin with an introduction to Machine Learning, then delve into Decision Trees, Neural Networks, and Hidden Markov Models. Apply these techniques to real-world bioinformatics problems, including secondary structure prediction and gene finding. Gain practical experience using popular tools like Keras and Scikit-Learn for machine learning tasks in the field of bioinformatics.