Practical projects and hands-on experience are pivotal in the upskilling process for Data Science and Machine Learning. They offer the opportunity to apply theoretical knowledge to real-world problems, develop problem-solving skills, and gain a deeper understanding of concepts. These projects build a tangible portfolio showcasing one's abilities, making it easier to secure job opportunities and effectively contribute to the field. Moreover, they foster the adaptability required to navigate the ever-evolving landscape of data science and machine learning.
If you are interested in getting into this field, then check out this video about Antony and how he upskilled and learned Data Science and Machine Learning with the help of Intellipaat’s Advanced Certification in Data Science and AI.