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Key Success Factors in Data Science
The chapter discusses the importance of practical skills over formal education for success in data science, highlighting the need for a strong portfolio and hands-on experience. It also emphasizes the value of mentorship and collaboration within the data science community, showcasing real-world teamwork and application in machine learning projects.