Explore essential Python libraries for machine learning in this comprehensive 4-hour tutorial. Dive into SciPy, NumPy, Pandas, Matplotlib, Seaborn, and Scikit-learn, learning their applications and functionalities. Master data manipulation, numerical computing, visualization techniques, and machine learning algorithms to enhance your skills in data science and artificial intelligence. Gain hands-on experience through practical examples and real-world applications, preparing you for a career in the rapidly growing field of machine learning.
Overview
Syllabus
- Course Introduction.
- Agenda.
- Scipy in Python.
- NumPy Tutorial.
- Uses of Pandas.
- Python Pandas.
- Matplotlib.
- Seaborn.
- Scikit Learn.
- Summary.
Taught by
Great Learning
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Reviews
5.0 rating, based on 1 Class Central review
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Vipul DhankarThe introductory Python library course provided a solid foundation in essential concepts. The curriculum covered key libraries, equipping me with the skills to manipulate data effectively. I gained proficiency in pandas for data analysis, matplotlib for visualization, and numpy for numerical operations. The hands-on exercises facilitated practical learning, while the instructors' clear explanations enhanced comprehension. The course offered a balanced mix of theory and practical application, enhancing my confidence to write code independently. Overall, the course was an insightful journey into the fundamental Python libraries, equipping me with practical skills essential for data manipulation and analysis.
