Machine Learning Intern
20 February 2024
Feynn Labs
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Understand the Basics
Make sure you have a solid understanding of fundamental machine learning concepts such as supervised learning, unsupervised learning, feature engineering, model evaluation, and optimization techniques.
Practice Coding
Be prepared to write code on a whiteboard or in a coding environment. Practice coding commonly used algorithms and data manipulation tasks in Python, such as implementing classifiers, regression models, or neural networks, and understand how to use libraries like NumPy, Pandas, and scikit-learn.
Know Your Algorithms
Familiarize yourself with a variety of machine learning algorithms and their pros and cons. Be prepared to discuss when and why you might choose one algorithm over another for a given problem.
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Data Science Intern
19 February 2024
Feynn Labs
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