Detailed answers for Data Science, Algorithms, NLP, and Computer Vision interview questions.
Sub Category
- Other IT & Software
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Objectives
- Grasp the fundamental concepts of Artificial Intelligence and the core principles of Machine Learning, including supervised and unsupervised learning.
- Implement machine learning models using popular Python libraries like Scikit-learn, Pandas, and NumPy to analyze and manipulate data effectively.
- Build and train your own machine learning models from scratch to make accurate predictions on real-world datasets and business problems.
- Understand the foundational principles of neural networks and deep learning, preparing you for more advanced topics in AI.
Pre Requisites
- Basic Python programming knowledge is required, including an understanding of data types, loops, and functions.
- Familiarity with high school level mathematics, including basic algebra and probability concepts, will be very helpful.
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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