Yes, we have a dedicated Telegram group for this course where you can interact with the instructors, teaching assistants, and fellow students. You can ask questions, seek clarification, and engage in discussions related to the course content.

Absolutely! The course covers essential machine learning concepts and techniques that are widely applicable to real-world problems. By the end of the course, you will have the skills to preprocess data, build predictive models, and evaluate their performance for both regression and classification tasks.

While there are no strict prerequisites, a basic understanding of programming concepts and Python syntax will be beneficial. Familiarity with statistics will also be helpful, but not mandatory.

The course will extensively utilize Python libraries such as NumPy and Pandas for data processing, as well as popular data visualization tools like Matplotlib and Seaborn. You will also learn to implement machine learning algorithms using libraries such as scikit-learn.

Basic programming knowledge in Python is recommended for this course. Familiarity with fundamental concepts of statistics will also be helpful, but not mandatory.