Master Python and unlock power of data with NumPy, Pandas, Matplotlib, Seaborn, Scikit-Learn, TensorFlow, and PyTorch
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Objectives
- Gain a thorough understanding of Python syntax, script writing, and core concepts such as variables, data types, and string operations
- Master the use of conditional statements and loops in Python to automate and optimize data processing tasks
- Learn to design reusable Python functions to perform repetitive tasks efficiently, including recursion and lambda functions
- Understand how to use NumPy arrays for complex mathematical computations and effectively handle large datasets with high performance
- Master the use of Pandas for data manipulation and analysis; learn how to explore, clean, and transform data into a suitable format
- Develop the ability to create insightful visual representations of data using Matplotlib and Seaborn libraries of Python
- Gain hands-on experience with Scikit-Learn, applying supervised and unsupervised learning algorithms to solve real-world machine learning problems
- Understand the fundamentals of Deep Learning and neural networks, forming the foundation to work with TensorFlow and PyTorch frameworks
- Build and evaluate deep learning models in PyTorch, including projects such as Fashion MNIST classification and cancer prediction
Pre Requisites
- No prior experience in Python or data analysis is required; just basic computer skills and access to a computer with an internet connection are necessary to start this course.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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