Introduction to Machine Learning with Python (Beginner)
In this quest, you will embark on a journey to understand the fundamentals of Machine Learning using Python. The quest is designed for beginners who wish to delve into the fascinating world of AI and data science. Throughout the course, you will learn about key concepts such as supervised and unsupervised learning, data preprocessing, model evaluation, and the implementation of algorithms using popular libraries like Scikit-learn and Pandas. You will engage in hands-on projects that will reinforce your learning and provide practical experience in building and evaluating machine learning models. By the end of this quest, you will be equipped with the foundational knowledge needed to start your journey in the field of Machine Learning.
• Understand the basic concepts and terminology of Machine Learning.
• Learn how to preprocess and prepare data for analysis.
• Implement basic supervised and unsupervised learning algorithms.
• Evaluate the performance of machine learning models and improve them.
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