rohanmistry231/Full-Stack-Data-Science-Machine-Learning-Course-Material
A comprehensive collection of course materials for learning full-stack data science and machine learning, covering Python, SQL, web development, and ML algorithms. Includes tutorials, datasets, and projects to build end-to-end data-driven applications from scratch.
This course material helps individuals learn the entire workflow of building data-driven applications, from basic Python and data analysis to advanced machine learning and business intelligence dashboards. It takes you from foundational concepts to hands-on projects, like predicting flight fares or analyzing road accidents, providing the skills to develop complete data science solutions. Aspiring data scientists, machine learning engineers, or data analysts looking for a structured learning path would use this.
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Use this if you are a beginner or intermediate learner seeking a comprehensive, structured curriculum to become proficient in full-stack data science and machine learning, with practical projects to apply your skills.
Not ideal if you are an experienced data scientist primarily looking for an advanced library or specific research code rather than a complete learning course.
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Jupyter Notebook
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MIT
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Last pushed
May 23, 2025
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